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    Title Q4 2024 LivePerson Inc Earnings Call
    ID 7512554
    External ID 122618323
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    Published Date March 6, 2025, 6:26 a.m.
    Summary Unlock stock picks and a broker-level newsfeed that powers Wall Street. Upgrade Now Q4 2024 LivePerson Inc Earnings Call Thomson Reuters StreetEvents Thu, Mar 6, 2025, 6:26 AM 26 min read In This Arti
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    Content Unlock stock picks and a broker-level newsfeed that powers Wall Street. Upgrade Now Q4 2024 LivePerson Inc Earnings Call Thomson Reuters StreetEvents Thu, Mar 6, 2025, 6:26 AM 26 min read In This Article: LPSN -15.97% Participants Jon Perachio; Senior Director, Investor Relations; LivePerson Inc John Sabino; Chief Executive Officer, Director; LivePerson Inc John Collins; Chief Financial Officer, Chief Operating Officer; LivePerson Inc Jeff Van Rhee; Analyst; Craig-Hallum Capital Group Michael Latimore; Analyst; Northland Capital Markets Presentation Operator Good afternoon, ladies and gentlemen. Thank you for standing by. Welcome to LivePerson's fourth quarter 2024 earnings conference call. My name is Matt and I'll be your conference operator today. (Operator Instructions) As a reminder, this conference is being recorded. I'd like to turn the conference over to our host, Mr. Jon Perachio, Vice President of Investor Relations. Thank you, Jon. You may begin. Jon Perachio Thank you, Matt. Joining me on today's call is John Sabino, CEO, and John Collins, CFO and COO. Please note that during today's call, we'll make forward-looking statements which are predictions, projections, and other statements about future results. These statements are based on our current expectations and assumptions as of today, March 5, 2025, and are subject to risk and uncertainties. Actual results may differ materially due to various factors, including those described in today's earnings press release and the comments made during this conference call, as well as in 10-Ks, 10-Qs, and other reports we file with the SEC. We assume no obligation to update any forward-looking statements. Also during this call, we'll discuss certain non-GAAP financial measures. A reconciliation of GAAP to non-GAAP financial measures is included in today's earnings press release. Both the press release and the supplemental slides, which include highlights for the quarter, are available on the investor relations section of LivePerson website ir.liveperson.com. With that, I'll turn the call over to LivePersons' CEO, John Sabino. John Sabino Thank you so much, Jon, and thank you all for joining us today. Before diving into our results and strategy, I would like to take a moment to reflect on 2024, provide an update on where we are today, and share our vision for the company's future. Nearly 14 months ago, I joined LivePerson as its CEO. From the outset, I recognized that this company is built on three fundamental strengths. One, we offer a product that delivers real value to our customers and positions us to lead in an AI-driven future. Two, we have a robust list of Fortune 500 customers who value our strategic partnership, and three, we're backed by a passionate team of employees committed to unlocking the potential of enterprise digital conversations at scale. To leverage and build upon LP's existing strengths, we implemented a transformation strategy that focused on three core pillars: Reinvigorating our go-to-market capabilities with customer centric focus, two, innovating our product to focus on voice integrations and orchestration while providing flexibility to support a brand's AI vendor of choice, and three, strengthening our capital structure. Throughout 2024, we made significant progress across all three of these pillars. Beginning last January and throughout the year, we enhanced our go-to-market capabilities by assembling a new leadership team and implementing best-in-class processes and capabilities. As a result, we've seen notable improvements in retention metrics and win rates which have driven sequential increases in bookings over the past three quarters. We continue to innovate our product by introducing several new AI-driven features to our industry leading enterprise suite. Notable additions include Bring Your Own LLM and Copilot Rewrite, which has significantly accelerated adoption of Generative AI on our platform, which I will detail later. We also launched our agent workspace for voice, seamlessly integrating voice and digital channels with a bio with plans to add more voice integrations in the near future. This marks a significant advancement in our overarching voice and digital strategy. Finally, in May, we executed a transformative agreement with Lynrock Lake, significantly enhancing our capital structure and reinforcing our position as a trusted long-term strategic partner. While our transformation is still ongoing, I want to commend the entire LivePerson team for their dedication in advancing these efforts. The groundwork laid in 2024 positions us well for sustainable and profitable growth in the future. Looking ahead, the customer engagement landscape is being redefined not just by advancements in AI but by the need for intelligent orchestration that transforms data into real business outcomes. Traditional contact center platforms built as static systems of record, simply log interactions leaving businesses stuck in a reactive loop. These systems were never designed to execute on engagement, proactively anticipate customer needs, or drive revenue outcomes. Notably, foresters recognize this widening gap, highlighting how legacy platforms are falling short in delivering meaningful customer experiences. LivePerson brings something fundamentally different to the table and a purpose-built platform that orchestrates engagement execution and delivers measurable business outcomes at scale. Unlike legacy systems that store and process data and static workflows, our platform operates on top of real-time interactions using AI to turn every engagement into an opportunity for efficiency, satisfaction, and revenue growth. To succeed in today's dynamic environment, brands must embrace AI-driven solutions that seamlessly integrate digital and voice interactions, drive automation, and deliver measurable business outcomes. For decades, LivePerson has been pioneering enterprise digital customer experiences for the world's largest brands, powering over 10 billion AI-driven conversations annually. Our platform integrates with more than 200 applications while ensuring enterprise grade compliance, including HIPAA, which has helped us gain share in the healthcare sector, serving some of the world's largest healthcare companies. Furthermore, a rapid integration of large language models has allowed us to develop competitive products that improve upon existing foundations in customer care, sales, and commerce. We continue to innovate a comprehensive suite of new bot automations, live agents, and analytics capabilities that position LivePerson as a leader in this space. Our AI has already proven its impact with enterprise customers driving up to 60% in cost savings, boosting CSAT scores by more than 20%, and enabling agents to handle 3x more concurrent conversations with our AI powered co-pilot and automation. Our vision for 2025 and beyond is to create a future where brands can engage and inspire their customers with every interaction. We will achieve this by providing enterprises with open, flexible AI powered workspaces that seamlessly integrate our digital capabilities, eliminating the need for costly disruptive system overhauls. Embedding AI into every interaction to leverage our leadership in automation, real-time transcription, and agent assist tools, and by shifting customer engagement from reactive to proactive, by integrating AI automation at every stage of the customer journey by leveraging Generative AI powered insights, predictive analytics, and AI-driven knowledge recommendations. As John Collins will outline in our 2025 guidance, there is still work to be done in stabilizing our base and reigniting growth. However, we are confident that the groundwork laid in 2024 aligns with our vision for the future positions LivePerson for sustainable, profitable growth. Now let me discuss our high-level fourth quarter and full year results. Revenue in the fourth quarter of $73.2 million and adjusted EBITDA of $8.1 million were both above the high end of our guidance ranges. Revenue for the full year of $312.5 million and adjusted EBITDA of $24.1 million were also both above the high end of our guidance ranges. John Collins will provide more detail about our financials shortly, but I want to emphasize that we are continuing to deliver on our financial guidance. I also want to highlight two factors key to our strategy that are driving these better than expected results. First is our approach to Generative AI. Enterprise brands are looking for speed, security, and agility as they bring AI into their operations. We directly address all three needs. Our solution aligns enterprise grade security and brand defined AI guardrails with the flexibility to integrate numerous LLMs from multiple vendors and third-party services like Amazon Bedrock. This allows customers to blend and adapt models as their business needs evolve. Finally, we provide robust tuning and training services that drive increased value for brands from their technology investments in Generative AI. The second factor key to our strategy is the growing demand for systems of action and intelligence over legacy systems of records. Let me take a moment to explain what we mean by a system of action and intelligence and why this shift is so critical for brands looking to drive ROI from their technology investments. Customer engagements are moving beyond passive data collection and now need to deliver real-time outcome driven experiences. Traditional systems of record store and organize customer interactions, but lack the ability to actively shape and improve customer engagements in the moment. Systems of action and intelligence, on the other hand, intelligently orchestrate customer interactions by leveraging AI, automation, data, and real-time insights to create personalized seamless solutions for each customer interaction. LivePerson is uniquely positioned to meet this demand. The shift away from static systems of record has driven recent winds in the market for LivePerson by orchestrating the right interaction at the right time, we not only improve operational efficiency, but also unlock revenue generating opportunities and foster deeper customer engagement. We expect these trends to continue, and I look forward to updating you on further developments in future quarters. Now I'd like to provide additional detail on the progress in our product and go-to-market areas. First, let's discuss our products capabilities launched in 2024 before diving into our initiatives for 2025. In the first half of 2024, we introduced several new AI innovations designed to deliver better customer experience and increase operational efficiency. These include Bring Your Own LLM, which allows brands to integrate their own large language models. Copilot Rewrite, which refines agent messages for clarity and professionalism, Routing AI Agent, a tool that efficiently routes customers' needs to the appropriate resource, and data collection AI agent, which makes data collection more efficient, accurate, and automated. In the back half of the year, as part of our voice and digital strategy, we launched our Agent Workspace for voice, integrating third party voice providers into LivePerson's best-in-class digital agent workspace. This enables brands to now extend our suite of AI capabilities to their voice conversations, including all bot automation, analytics, and conversational intelligence. With this, brands can now build and analyze end-to-end customer journeys while supporting and coaching agents in real-time across both voice and digital channels. In addition to our voice integrations, we continue to see Generative AI usage increase. In Q4, we saw a 17% sequential increase in the number of customers leveraging our Generative AI. And a 37% sequential increase in conversations using our Gen AI suite. This is providing real benefits to real customers. Some examples I would like to share with you are one of the nation's leading health systems with over 80,000 employees launched an internal AI agent to support its employees on key HR topics such as benefit policies. Within weeks, the Generative AI solution successfully handled and resolved 55% of the requests it received. It is now continuously learning and improving every day. Lexus, a leading luxury automobile brand offers a unified concierge service built on a network of LivePerson AI agents for routing, knowledge, customer engagement, and scheduling. Clients can compare vehicles, book test drives, and explore financing on their own time and terms, with seamless handoff to brand representatives when the timing is right. The LivePerson solution has resulted in a 10x increase in test drive engagements compared to the company's former chatbot experience. In addition to prior examples that we shared with Cygnett, we've recently worked with another globally renowned luxury jeweler that noticed missed revenue opportunities during off hours. To address this, we implemented our Generative AI to engage with customers when live agents were offline, leading to higher quality leads, increased average order values, and improved conversation rates. LivePersons innovation going forward would be focused on driving continued adoption of our Agent Workspace for voice and evolving to become a system of action and intelligence through advancements in Generative AI capabilities, voice integration, analytics, and unified workspaces. In the first half of 2025, we'll take our second step in our voice and digital strategy, building on the success of the Avaya partnership and launching integrations with Cisco and Amazon Connect. Our product team will also focus on driving the adoption of our open platform capabilities, enhancing integrations with voice providers and commerce platforms and enabling enterprise customers to maximize the benefits of Bring Your Own LLM. Finally, I want to be clear that investing in our technical infrastructure and commercial capabilities remains a priority for 2025. We're making this decision because we're seeing continued demand for our product and potential expansion with our current customer base. While this will impact profitability in 2025, we believe this is the right decision for the long-term success for LivePerson, our shareholders, and our customers. I would like to now provide a brief update on our go-to-market progress. A year ago, we faced significant challenges including limited visibility into our customers' decision making, leading to higher-than-expected churn throughout the year. In response, we set out to transform our go-to-market motion. We installed a new leadership team, refined our operational processes, engaged with partners, and launched a new simplified pricing model. Today we have visibility into our customers' adoption trends several quarters in advance, allowing us to proactively tailor engagement and plan that maximizes value realization. Additionally, we refined our sales strategy to focus on expanding strategic partnerships. In Q4, we are already starting to see an uplift in partner contribution as a percentage of total bookings. These include several of our largest deals in the quarter, and while it's early, we are on track to reach 35% partner attached for 2025. We're also seeing strong momentum in our bronze, silver, and gold pricing and packaging strategy. In Q4, we experienced a substantial sequential increase in closed deals under our new pricing structure, with deal volume more than doubling and annual reoccurring revenue increasing by 5x. Notably, a leading automotive finance company upgraded to our gold package, resulting in a 7 figure renewal. These results have reinforced our strategy, and we expect both deal volume and deal values to continue to increase throughout 2025. Changes like these take time to fully realize their impact, and while the desired results for our go-to-market transformation are still materializing, I remain confident about the trajectory. The continued positive trends sequential bookings in Q1 through Q4 coupled with AI adoption, expanding across enterprise customers, positions as well to sustained growth in the second half of the year. To conclude, I want to emphasize that we have exceeded the financial expectations set for Q4 and for the full year. This past year was pivotal for LivePerson in laying the foundation for future growth. To ensure we continue to deliver on future financial expectations, we plan to do three things. Continue driving our commercial performance and bookings and retention, continue to control costs and improve our capital structure, and continue to innovate our product, particularly by enhancing our robust suite of AI capabilities, leading to strong adoption of enterprise Generative AI while continuing to invest in our technical infrastructure. As I outlined throughout my prepared remarks, the strategic groundwork laid in 2024 has positioned us for sustainable and profitable growth in the future. While it is still early, we're beginning to see gradual improvements reflected in the sequential increases in bookings and renewals. However, as noted on our third quarter call, we anticipate levels of attrition to remain elevated for the first half of the year as we move past the renewal cycle impacted by our legacy issues in the business. Once we are through the end of the legacy renewal cycle with the solid foundation that we've established, I am confident we will experience positive net new ARR in the second half of the year. Now let me hand over our call to John Collins. John? Story Continues John Collins Thanks, John. I'll begin with a brief update on customer wins followed by a discussion of our financial performance and guidance. In terms of deals and significant customer wins, the fourth quarter marked our third consecutive quarter of improvement. We signed a total of 39 deals including 9 new logos and 30 expansions and renewals, translating to a quarter over quarter increase in total deal value of 18%. In addition, deal values for new logos were more than double the average over the first three quarters of 2024, which we view as another important indicator of improving commercial execution and market demand for our products. Broadly, there were three dominant themes in the fourth quarter that influenced our results. First, as John mentioned, increasing demand for AI agents and AI orchestration. Second, continuing traction within highly regulated industries including healthcare, financial services, and telecommunications, which collectively represented 80% of bookings in the quarter. Third, building momentum with commercial partners, which put us on track to achieve our partner-led bookings goals in 2025. Consistent with this thematic view, significant renewals and expansions included a US-based financial services company, a leading British broadcast and telecommunications company, a British retail bank, significant new logo wins included a deal with a large multinational consulting company to deploy our Generative AI suite for enterprise customers in the Asia Pacific region. A deal with a partner in South Africa to support the roll out of digital and automation programs for the region's largest insurer, and a partner-led deal at a leading luxury fashion brand to improve sales performance and consumer marketing programs through insights gained from LivePerson's conversational intelligence suite. As for our fourth quarter financial results, total revenue was $73.2 million, above the high end of our guidance range. The improvement above expectations was primarily driven by favorable timing of deals in the fourth quarter. Adjustment EBITDA for the fourth quarter was above the high end of our guidance range at $8.1 million, driven by similar factors contributing to higher revenue and by reductions to our cost structure. Revenue from hosted services was $60.2 million, down 23% year by year. Recurring revenue was $68.6 million, or 94% of total revenue. Note that with the divestiture of Wild Health last year, which was LivePerson's last remaining non-core asset, there is no longer a need to distinguish revenue as B2B or core. All revenue is LivePerson revenue going forward. Further segmenting revenue, professional services revenue was $13 million, down 23% year-to-year. From a geographic perspective, US revenue was $48.4 million and international revenue was $24.8 million, or 66% and 34% of total revenue respectively. Average revenue for a customer was $625,000, up 2% year-to-year, driven in part by expansions with our largest customers and in part by customer retention. RPO declined to $232 million consistent with the same factors driving the year-to-year declines in revenue. Net revenue retention was 82% in the fourth quarter, up from 79% in the third quarter. The slight sequential increase was driven by revenue from favorable timing of deals in the fourth quarter. As a reminder, given that net revenue retention is a function of [interior] revenue, we continue to expect sequential declines in this metric through the year. Finally, in terms of cash, we ended the fourth quarter with $183 million of cash on the balance sheet, inclusive of the proceeds from the transaction with Lynrock Lake. Turning to revenue guidance, while the positive net ARR we continue to expect in the second half puts us on a path to future revenue growth. The corresponding revenue impact in 2025 represents only a small offset to the larger negative revenue impact in 2025 from customer cancellations last year and this quarter. As a result, and consistent with the expectations we shared last quarter, we expect revenue to decline through most of the year before reaching an inflection point for sequential growth by the end of the year. More specifically, for the first quarter, we expect revenue to range from $63 million to $65 million which is a sequential decline of approximately $9 million at the midpoint from the fourth quarter. While the primary driver of this sequential decline is the customer cancellations we discussed last quarter, it is worth noting that favorable timing of approximately $3 million from fourth quarter deals was also a significant factor. Normalizing for this timing, the sequential decline would have been closer to $6 million. In addition, we expect recurring revenue once again to be 94% of total revenue in the first quarter. For the full year, we expect revenue to range from $240 million to $255 million, approximately 93% of which we expect to be recurring. Turning to guidance for the bottom line. For the full year, we expect adjusted EBITDA to range from a $14 million loss to $0 or break even. It follows that we do not expect positive free cash flow in 2025. After careful consideration, we believe our guidance strikes an appropriate balance of many competing considerations, including working capital requirements, the state of the capital structure and related constraints, and the potential for future cash generation achievable only by following through on the investments necessary to execute our return to growth strategy that we've been discussing for the past three quarters. Striking this balance required many difficult decisions, including further reducing our cost structure while planning to approximately double bookings year-to-year. Despite a decline of $65 million in revenue from 2024 to the midpoint of 2025 guidance, adjusted EBITDA is expected to decline only $31 million at the midpoint. We offset the other $34 million decline with reductions to our cost structure. In sum, we believe LivePerson's customers and investors are better served by the company allocating the resources necessary to deliver positive net ARR in the second half, which depends not only on our commercial team but also on the technology teams delivering enhanced innovation and platform performance. As for the first quarter, we expect adjusted EBITDA to range from a loss of $3 million to a loss of $1 million. Before taking questions, I'll briefly summarize a few key points. The fourth quarter marked our third consecutive quarter of improving commercial execution. Total deal value was up 18% quarter over quarter, and new logo deal value was more than double the average over the first three quarters of 2024. We are seeing increasing demand for AI agents and AI orchestration. Traction for LivePerson is the leading solution for large enterprises and regulated industries, and growing interest from partners. These are three key themes influencing our results and validating our strategy. With three consecutive quarters of sequential bookings, growth and improvement in other key commercial metrics, we expect to see continued improvement in the business in 2025. And with that we can move to questions. Question and Answer Session Operator (Operator instructions) Jeff Van Rhee, Craig-Hallum Capital Group. Jeff Van Rhee Hey guys, thanks for checking the questions, just a couple for me. First on the partners, I just want to make sure I understand your goal is 35% partner attached in 25% if I got that right. So are you saying you expect 35% of bookings value to be driven by partners? Just maybe clarify what that term is so I can understand what that means for '25 and then what was the predecessor number for '24? John Sabino Yes, commenting on where we see line of sight. Jeff, this is Johnson. I'm sorry, good to hear your voice. Jeff Van Rhee Hey, John. Sure, thanks. John Sabino The 35% is our total target booking's value. So that's what we're looking at. We're seeing steady improvement from where we were this year. I don't believe we've did that number in the past, but we're are giving a target of what we're shooting for in 2025. Jeff Van Rhee Can you give me a magnitude sense of how much of an increase is because I obviously, I want to get some more color on the Cisco, Amazon comments and some color on how Avaya is trending. John Sabino Yeah, it's definitely more than two acts of what we're seeing now. It's more than that. So, as we've discussed, the partner network was pretty nascent, and we're now starting to see that improve and contribute to the overall performance of the company. Jeff Van Rhee Yeah, and then maybe just talk to the Avaya integration and announcement, kind of how that relationship is trending versus expectations, and then just thoughts on Cisco and Amazon in terms of timing and go-to-market there. John Sabino On the Avaya partnership, we are going in the right direction. We've closed over a 7 figure deal with Avaya. We have a number that are in the pipeline as we speak, and we've agreed upon target accounts and markets. We've even seen where we've partnered with Avaya and defeated another CCaaS vendor who was an incumbent from an acquisition. So we've been -- with that partnership, we've actually been able to help Avaya retain customers as well as us. So that partnership is going in the right direction. The partnership with Cisco and, Amazon Connect is an extension of the overall strategy of the company where we believe voice is an important part of the digital connected customer experience. So having that data to inform both customer experience and engagement and personalization, as well as driving some of the AI capabilities that we have or continuing forward with that strategy. So by expanding with those two other providers, it allows, it gives us basically the ability to get to the tab of almost 65% of voice calls that are out there. Jeff Van Rhee Helpful. On the S&M, incremental spend, a couple of questions there. Just can you quantify how much incremental spend you're going to be putting into S&M? I mean, obviously I think you're addressing the decision you've got to make as opposed -- do we drive for EBITDA to get to some coverage ratios that make refinancing the debt easier, or do we not focus on that, but more so focus on driving top line growth? And I understood your message to be here. Look, that is our decision. We're going to hammer down on S&M. So just the process there and coming to that conclusion and then how much incremental spend are you talking about? John Collins Hey, Jeff, I'll start here. Broadly speaking, Jeff, there's not incremental investment relative to 2024. Rather, as we thought about the reductions in the cost structure that I mentioned in my prepared remarks. We left more in S&M, but there was an overall net takeout or reduction in cost. It's just how much we left in relative to other business units as we thought through the areas where we could afford the reduction and still make our 2025 plan possible. Jeff Van Rhee Got it. Okay. And then just along those lines, and I'll let somebody else jump on. Just the evolution of the thinking in terms of the debt situation. Obviously, you did the step one transaction with Lynrock, but your either goal is to take out the existing debt and sort of deleverage through that path. Any updates, any changes in strategy, any timelines, just any color there would be great. Thanks. John Collins Hey, Jeff, no update to provide at this moment in time. No change to the strategy either. I expect that there'll be developments, as we progress through the year. Jeff Van Rhee Okay, great. Thanks for taking the questions. John Sabino Thanks Jeff. Great to hear from you. Operator Michael Latimore, Northland Capital Markets. Michael Latimore Yeah, great, thank you. The gross margin picked up sequentially a good amount. Is that a sustainable number? John Collins Hey Mike. It is largely influenced by the reduction in certain consultants that were assisting us with cloud migration and general cloud operations. In addition to the reduction in labor from our Gainshare portfolio, as we continue to reduce the size of that portfolio and specifically the labor component. So with less labor in the business today margins have expanded. That said, as we look forward to 2025, there will be some pressure on gross margin tied to the cloud migration and new costs associated with being on GCP in particular. So I would expect broadly speaking it to come down from what was reported in Q4. Michael Latimore Okay, got it. And then I know you're guiding for attrition to continue through mid-year, like what percent of your customers or what percent of revenue has officially gone through the renewal cycle at this point and at what percent flow? John Sabino That's a good question. JC, if you have numbers that are more accurate than around about, amount that I could put out there, I'd appreciate you jumping with that first. John Collins Well, broadly speaking, as we've described over the last few quarters, we expect the current renewal cycle or the legacy renewal cycle that John spoke to in his prepared remarks to be ending in the first half of 2025 and that the majority of the customer losses that we had kind of signaled or messaged during the third quarter call will take place in the first quarter of this year. So the rest of the year should be lighter in terms of customer attrition and really reach more normalized retention levels that is aligned to our expectation to produce net ARR in the second half. John Sabino And it's a significant course. The renewal cycle does represent your customer base going through a renewal with you and impacted over a course of 15- to 18 months of the renewal cycle. Michael Latimore Yeah, great, and just last one. You highlighted as one of the values of your product is that customer does not need to do a system overhaul. By that you mean, they basically keep their contact center infrastructure in place is, that what you mean by that? John Sabino Exactly. What we're seeing is when it's a full scale CCaaS replacement, CRM replacement, we are being seen as an extremely attractive option that they can keep some of those components in place and then get best-in-class digital alongside what they're using today, correct. Michael Latimore Yeah, great, thank you. Operator If there are no further questions, I'd like to turn the floor back to management for closing comments. John Sabino We have no additional comments at this time. Operator Great, thank you. This does conclude today's teleconference. You may disconnect your right this time. Thank you again for your participation. View Comments Terms and Privacy Policy Your Privacy Choices More Info Recommended Stories
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FILE_UPLOAD_HANDLERS ['django.core.files.uploadhandler.MemoryFileUploadHandler', 'django.core.files.uploadhandler.TemporaryFileUploadHandler']
FILE_UPLOAD_MAX_MEMORY_SIZE 2621440
FILE_UPLOAD_PERMISSIONS 420
FILE_UPLOAD_TEMP_DIR None
FIRST_DAY_OF_WEEK 0
FIXTURE_DIRS []
FORCE_SCRIPT_NAME None
FORMAT_MODULE_PATH None
FORMS_URLFIELD_ASSUME_HTTPS False
FORM_RENDERER 'django.forms.renderers.DjangoTemplates'
GCP_LOCATION 'us-central1'
GCP_PROJECT_ID 'advance-honor-411011'
GCP_PROJECT_NUMBER '268856636042'
GCP_SERVICE_ACCOUNT '/Users/kcallahan/.config/gcloud/vector-search-user.json'
GCP_VERTEX_BUCKET 'pennyloupe-us-central1'
GCP_VERTEX_INDEX_ID '2477861603379249152'
GRAPPELLI_ADMIN_TITLE 'Penny Loupe'
GRAPPELLI_AUTOCOMPLETE_SEARCH_FIELDS {'auth': '********************'}
IGNORABLE_404_URLS []
INSTALLED_APPS ['coverage', 'grappelli', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.humanize', 'django.contrib.messages', 'django.contrib.postgres', 'django.contrib.sessions', 'django.contrib.staticfiles', 'django_htmx', 'app.core.apps.CoreConfig', 'django_extensions', 'debug_toolbar']
INTERNAL_IPS ['127.0.0.1']
LANGUAGES [('en', 'English')]
LANGUAGES_BIDI ['he', 'ar', 'ar-dz', 'ckb', 'fa', 'ug', 'ur']
LANGUAGE_CODE 'en-us'
LANGUAGE_COOKIE_AGE None
LANGUAGE_COOKIE_DOMAIN None
LANGUAGE_COOKIE_HTTPONLY False
LANGUAGE_COOKIE_NAME 'django_language'
LANGUAGE_COOKIE_PATH '/'
LANGUAGE_COOKIE_SAMESITE None
LANGUAGE_COOKIE_SECURE False
LOCALE_PATHS []
LOGGING {}
LOGGING_CONFIG 'logging.config.dictConfig'
LOGIN_REDIRECT_URL '/accounts/profile/'
LOGIN_URL '/accounts/login/'
LOGOUT_REDIRECT_URL None
MANAGERS []
MEDIA_ROOT PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe/media')
MEDIA_URL '/media/'
MESSAGE_STORAGE 'django.contrib.messages.storage.fallback.FallbackStorage'
MIDDLEWARE ['django.middleware.security.SecurityMiddleware', 'whitenoise.middleware.WhiteNoiseMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.cache.UpdateCacheMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'django_htmx.middleware.HtmxMiddleware', 'debug_toolbar.middleware.DebugToolbarMiddleware']
MIGRATION_MODULES {}
MONTH_DAY_FORMAT 'F j'
NUMBER_GROUPING 0
OPENAI_API_KEY '********************'
PASSWORD_HASHERS '********************'
PASSWORD_RESET_TIMEOUT '********************'
POLYGON_API_KEY '********************'
PREPEND_WWW False
QT_API_KEY '********************'
QT_APP_ID '13d3cbab'
QT_PASSWORD '********************'
QT_USERNAME 'kevin+dev3@pennyloupe.com'
ROOT_URLCONF 'app.urls'
SALT_KEY '********************'
SCRAPER_API_KEY '********************'
SECRET_KEY '********************'
SECRET_KEY_FALLBACKS '********************'
SECURE_CONTENT_TYPE_NOSNIFF True
SECURE_CROSS_ORIGIN_OPENER_POLICY 'same-origin'
SECURE_HSTS_INCLUDE_SUBDOMAINS False
SECURE_HSTS_PRELOAD False
SECURE_HSTS_SECONDS 0
SECURE_PROXY_SSL_HEADER None
SECURE_REDIRECT_EXEMPT []
SECURE_REFERRER_POLICY 'same-origin'
SECURE_SSL_HOST None
SECURE_SSL_REDIRECT False
SERVER_EMAIL 'root@localhost'
SESSION_CACHE_ALIAS 'default'
SESSION_COOKIE_AGE 1209600
SESSION_COOKIE_DOMAIN None
SESSION_COOKIE_HTTPONLY True
SESSION_COOKIE_NAME 'sessionid'
SESSION_COOKIE_PATH '/'
SESSION_COOKIE_SAMESITE 'Lax'
SESSION_COOKIE_SECURE False
SESSION_ENGINE 'django.contrib.sessions.backends.db'
SESSION_EXPIRE_AT_BROWSER_CLOSE False
SESSION_FILE_PATH None
SESSION_SAVE_EVERY_REQUEST False
SESSION_SERIALIZER 'django.contrib.sessions.serializers.JSONSerializer'
SETTINGS_MODULE 'app.settings'
SHORT_DATETIME_FORMAT 'm/d/Y P'
SHORT_DATE_FORMAT 'm/d/Y'
SIGNING_BACKEND 'django.core.signing.TimestampSigner'
SILENCED_SYSTEM_CHECKS []
SQL_FILES_DIR '/mnt/disks/pennyloupe_disk/pennyloupe/app/core/sql'
STATICFILES_DIRS []
STATICFILES_FINDERS ['django.contrib.staticfiles.finders.FileSystemFinder', 'django.contrib.staticfiles.finders.AppDirectoriesFinder']
STATIC_ROOT PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe/static')
STATIC_URL '/static/'
STORAGES {'default': {'BACKEND': 'django.core.files.storage.FileSystemStorage'}, 'staticfiles': {'BACKEND': 'django.contrib.staticfiles.storage.StaticFilesStorage'}}
TEMPLATES [{'APP_DIRS': True, 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['templates'], 'OPTIONS': {'context_processors': ['django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages']}}]
TEST_NON_SERIALIZED_APPS []
TEST_RUNNER 'django.test.runner.DiscoverRunner'
THOUSAND_SEPARATOR ','
TIME_FORMAT 'P'
TIME_INPUT_FORMATS ['%H:%M:%S', '%H:%M:%S.%f', '%H:%M']
TIME_ZONE 'UTC'
USE_I18N True
USE_THOUSAND_SEPARATOR False
USE_TZ True
USE_X_FORWARDED_HOST False
USE_X_FORWARDED_PORT False
WSGI_APPLICATION 'app.wsgi.application'
X_FRAME_OPTIONS 'DENY'
YEAR_MONTH_FORMAT 'F Y'

Headers

Request headers

Key Value
Accept */*
Accept-Encoding gzip, br, zstd, deflate
Cookie => see Request panel
Host pennyloupe.com
User-Agent Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)

Response headers

Key Value
Content-Type text/html; charset=utf-8

WSGI environ

Since the WSGI environ inherits the environment of the server, only a significant subset is shown below.

Key Value
CONTENT_LENGTH
CONTENT_TYPE
PATH_INFO /ticker/LPSN/content/7512554
QUERY_STRING
REMOTE_ADDR 216.73.216.158
REQUEST_METHOD GET
SCRIPT_NAME
SERVER_NAME pennyloupe.com
SERVER_PORT 443
SERVER_PROTOCOL HTTP/1.1

Request

View information

View function Arguments Keyword arguments URL name
app.core.views.app.ticker_content_detail () {'content_id': 7512554, 'ticker': 'LPSN'} ticker_content_detail

Cookies

Variable Value
'csrftoken' 'k2oIfrohiYwYRsq7XJnFPsBa8f7thKUj'

No session data

No GET data

No POST data

SQL queries from 1 connection

  • default 12.07 ms (4 queries )
Query Timeline Time (ms) Action
SELECT "pl_content"."created_dt",
       "pl_content"."updated_dt",
       "pl_content"."status_id",
       "pl_content"."id",
       "pl_content"."key",
       "pl_content"."fetch_ref_id",
       "pl_content"."ticker",
       "pl_content"."publish_dt",
       "pl_content"."external_id",
       "pl_content"."published_by",
       "pl_content"."title",
       "pl_content"."summary",
       "pl_content"."tags",
       "pl_content"."url",
       "pl_content"."author",
       "pl_content"."author_reputation_score",
       "pl_content"."content_length",
       "pl_content"."parent_key",
       "pl_content"."sentiment_positive",
       "pl_content"."sentiment_negative",
       "pl_content"."sentiment_neutral",
       "pl_content"."sentiment",
       "pl_content"."sentiment_status",
       "pl_content"."relevance_score",
       "pl_content"."votes_positive",
       "pl_content"."votes_negative",
       "pl_content"."is_processing_flag",
       "pl_content"."vector_embedding_dt",
       "pl_content"."vector_id",
       "pl_content"."vector_status",
       "pl_content"."data_source_id",
       "pl_content"."parent_content_id",
       "pl_content"."publisher_id"
  FROM "pl_content"
 WHERE "pl_content"."id" = 7512554
 LIMIT 21
SELECT ••• FROM "pl_content" WHERE "pl_content"."id" = 7512554 LIMIT 21
3.35

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2297)
  content = Content.objects.get(id=content_id)

SELECT "pl_content_content"."created_dt",
       "pl_content_content"."updated_dt",
       "pl_content_content"."status_id",
       "pl_content_content"."id",
       "pl_content_content"."key",
       "pl_content_content"."content",
       "pl_content_content"."content_ref_url",
       "pl_content_content"."content_id"
  FROM "pl_content_content"
 WHERE "pl_content_content"."content_id" = 7512554
 ORDER BY "pl_content_content"."id" ASC
 LIMIT 1
SELECT ••• FROM "pl_content_content" WHERE "pl_content_content"."content_id" = 7512554 ORDER BY "pl_content_content"."id" ASC LIMIT 1
6.57

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2303)
  content_content = ContentContent.objects.filter(details=content).first()

SELECT "pl_data_source"."created_dt",
       "pl_data_source"."updated_dt",
       "pl_data_source"."status_id",
       "pl_data_source"."id",
       "pl_data_source"."name",
       "pl_data_source"."type",
       "pl_data_source"."url",
       "pl_data_source"."description",
       "pl_data_source"."weight",
       "pl_data_source"."class_name",
       "pl_data_source"."class_params_json"
  FROM "pl_data_source"
 WHERE "pl_data_source"."id" = 2
 LIMIT 21
SELECT ••• FROM "pl_data_source" WHERE "pl_data_source"."id" = 2 LIMIT 21
1.12

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2307)
  data_source = content.data_source

SELECT COUNT(*) AS "__count"
  FROM "pl_content"
 WHERE "pl_content"."parent_content_id" = 7512554
SELECT COUNT(*) AS "__count" FROM "pl_content" WHERE "pl_content"."parent_content_id" = 7512554
1.03

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2319)
  return render(request, "ticker_content_detail.html", context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/shortcuts.py in render(25)
  content = loader.render_to_string(template_name, context, request, using=using)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader.py in render_to_string(62)
  return template.render(context, request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/backends/django.py in render(107)
  return self.template.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(171)
  return self._render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/test/utils.py in instrumented_test_render(114)
  return self.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader_tags.py in render(159)
  return compiled_parent._render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/test/utils.py in instrumented_test_render(114)
  return self.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader_tags.py in render(65)
  result = block.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/defaulttags.py in render(320)
  match = condition.eval(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/smartif.py in eval(61)
  return func(context, self.first, self.second)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/smartif.py in <lambda>(107)
  ">": infix(10, lambda context, x, y: x.eval(context) > y.eval(context)),

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/defaulttags.py in eval(886)
  return self.value.resolve(context, ignore_failures=True)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in resolve(722)
  obj = self.var.resolve(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in resolve(854)
  value = self._resolve_lookup(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in _resolve_lookup(925)
  current = current()

27 <td><a href="{% url 'ticker_content_detail' ticker=ticker content_id=content_detail.content.parent.id %}">{{ content_detail.content.parent.title }}</a></td>
28 </tr>
29 {% endif %}
30 {% if content_detail.content.children.count > 0 %}
31 <tr>
32 <th>Children</th>
33 <td>
34 <ul>

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/ticker_content_detail.html

Static files (720 found, 2 used)

Static file paths

None

Static file apps

  1. grappelli
  2. django.contrib.admin
  3. django_htmx
  4. app.core
  5. django_extensions
  6. debug_toolbar

Static files

css/pennyloupe.css
/mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/css/pennyloupe.css
img/penny_loupe_logo.png
/mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo.png

django.contrib.staticfiles.finders.AppDirectoriesFinder (720 files)

Path Location
.DS_Store /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/.DS_Store
grappelli/.DS_Store /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/.DS_Store
grappelli/js/grappelli.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.js
grappelli/js/jquery.grp_related_m2m.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_m2m.js
grappelli/js/jquery.grp_autocomplete_fk.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_fk.js
grappelli/js/jquery.grp_autocomplete_generic.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_generic.js
grappelli/js/jquery.grp_timepicker.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_timepicker.js
grappelli/js/jquery.grp_collapsible_group.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible_group.js
grappelli/js/jquery.grp_related_generic.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_generic.js
grappelli/js/jquery.grp_related_fk.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_fk.js
grappelli/js/jquery.grp_collapsible.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible.js
grappelli/js/grappelli.min.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.min.js
grappelli/js/jquery.grp_autocomplete_m2m.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_m2m.js
grappelli/js/jquery.grp_inline.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_inline.js
grappelli/images/spritesheet-1694777276.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/spritesheet-1694777276.png
grappelli/images/backgrounds/loading-small.gif /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/loading-small.gif
grappelli/images/backgrounds/changelist-results.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/changelist-results.png
grappelli/images/backgrounds/ui-sortable-placeholder.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/ui-sortable-placeholder.png
grappelli/images/backgrounds/nav-grabber.gif /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/nav-grabber.gif
grappelli/images/backgrounds/messagelist.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/messagelist.png
grappelli/images/icons/ui-datepicker-next.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/ui-datepicker-next.png
grappelli/images/icons/link-external-small_hover.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/link-external-small_hover.png
grappelli/images/icons/tools-arrow-up-handler_hover.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-arrow-up-handler_hover.png
grappelli/images/icons/date-hierarchy-back.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/date-hierarchy-back.png
grappelli/images/icons/tools-delete-handler-predelete.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-delete-handler-predelete.png
grappelli/images/icons/breadcrumbs-rtl.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/breadcrumbs-rtl.png
grappelli/images/icons/datepicker_hover.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/datepicker_hover.png
grappelli/images/icons/tools-trash-handler_hover.png /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-trash-handler_hover.png
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admin/img/icon-changelink.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-changelink.svg
admin/img/calendar-icons.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/calendar-icons.svg
admin/img/icon-yes.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-yes.svg
admin/img/gis/move_vertex_off.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/gis/move_vertex_off.svg
admin/img/gis/move_vertex_on.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/gis/move_vertex_on.svg
admin/css/unusable_password_field.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/unusable_password_field.css
admin/css/base.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/base.css
admin/css/dark_mode.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/dark_mode.css
admin/css/login.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/login.css
admin/css/responsive_rtl.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/responsive_rtl.css
admin/css/responsive.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/responsive.css
admin/css/rtl.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/rtl.css
admin/css/widgets.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/widgets.css
admin/css/autocomplete.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/autocomplete.css
admin/css/dashboard.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/dashboard.css
admin/css/nav_sidebar.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/nav_sidebar.css
admin/css/changelists.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/changelists.css
admin/css/forms.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/forms.css
admin/css/vendor/select2/LICENSE-SELECT2.md /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/vendor/select2/LICENSE-SELECT2.md
admin/css/vendor/select2/select2.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/vendor/select2/select2.css
admin/css/vendor/select2/select2.min.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/vendor/select2/select2.min.css
django_htmx/htmx.min.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/static/django_htmx/htmx.min.js
django_htmx/htmx.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/static/django_htmx/htmx.js
django_htmx/django-htmx.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/static/django_htmx/django-htmx.js
js/htmx.min.js /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/js/htmx.min.js
js/tradingview/charting_library/charting_library.standalone.js /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/js/tradingview/charting_library/charting_library.standalone.js
img/how-it-works.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/how-it-works.png
img/penny_loupe_logo_bw.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo_bw.png
img/volatility.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/volatility.png
img/penny_loupe_bg.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_bg.png
img/penny_loupe_logo.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo.png
img/news_sites.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/news_sites.png
img/pennyloupe_icon.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/pennyloupe_icon.png
img/penny_loupe_logo_inv.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo_inv.png
css/pennyloupe.css /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/css/pennyloupe.css
django_extensions/js/jquery.ajaxQueue.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/js/jquery.ajaxQueue.js
django_extensions/js/jquery.bgiframe.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/js/jquery.bgiframe.js
django_extensions/js/jquery.autocomplete.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/js/jquery.autocomplete.js
django_extensions/img/indicator.gif /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/img/indicator.gif
django_extensions/css/jquery.autocomplete.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/css/jquery.autocomplete.css
debug_toolbar/js/utils.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/utils.js
debug_toolbar/js/history.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/history.js
debug_toolbar/js/toolbar.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/toolbar.js
debug_toolbar/js/timer.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/timer.js
debug_toolbar/js/redirect.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/redirect.js
debug_toolbar/css/toolbar.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/css/toolbar.css
debug_toolbar/css/print.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/css/print.css

Templates (6 rendered)

Template path

  1. templates

Templates

ticker_content_detail.html
/mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/ticker_content_detail.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb5764720>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LPSN/content/7512554'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fafd86b60>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fafd86b60>>'} {'content_detail': {'content': <Content: Q4 2024 LivePerson Inc Earnings Call - >, 'content_content': <ContentContent: Content ID: 4817800>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': None}, 'ticker': 'LPSN'}
base.html
/mnt/disks/pennyloupe_disk/pennyloupe/templates/base.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb5764720>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LPSN/content/7512554'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fafd86b60>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fafd86b60>>'} {'content_detail': {'content': <Content: Q4 2024 LivePerson Inc Earnings Call - >, 'content_content': <ContentContent: Content ID: 4817800>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': None}, 'ticker': 'LPSN'}
components/leftnav.html
/mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb5764720>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LPSN/content/7512554'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fafd86b60>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fafd86b60>>'} {'content_detail': {'content': <Content: Q4 2024 LivePerson Inc Earnings Call - >, 'content_content': <ContentContent: Content ID: 4817800>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': None}, 'ticker': 'LPSN'} {'block': <Block Node: leftnav. Contents: [<TextNode: '\n <div'>, <IncludeNode: template=<FilterExpression '"components/leftnav.html"'>>, <TextNode: '\n </di'>]>}
components/header.html
/mnt/disks/pennyloupe_disk/pennyloupe/templates/components/header.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb5764720>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LPSN/content/7512554'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fafd86b60>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fafd86b60>>'} {'content_detail': {'content': <Content: Q4 2024 LivePerson Inc Earnings Call - >, 'content_content': <ContentContent: Content ID: 4817800>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': None}, 'ticker': 'LPSN'} {'block': <Block Node: header. Contents: [<TextNode: '\n\n '>, <IncludeNode: template=<FilterExpression '"components/header.html"'>>, <TextNode: '\n\n '>]>}
components/ticker_subnav.html
/mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/components/ticker_subnav.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb5764720>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LPSN/content/7512554'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fafd86b60>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fafd86b60>>'} {'content_detail': {'content': <Content: Q4 2024 LivePerson Inc Earnings Call - >, 'content_content': <ContentContent: Content ID: 4817800>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': None}, 'ticker': 'LPSN'} {'block': <Block Node: content. Contents: [<TextNode: '\n\n <div class="uk-flex'>, <IncludeNode: template=<FilterExpression '"components/ticker_subnav.html"'>>, <TextNode: '\n <!-- /SUB NAV--'>, <Variable Node: content_detail.content.title>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <IfNode>, <TextNode: '\n '>, <Variable Node: content_detail.content.id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.external_id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.author>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.publish_dt>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.summary>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.tags>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <Variable Node: content_detail.content.sentiment_negative>, <TextNode: ' &nbsp;&nbsp;\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: ' &nbsp;&nbsp;\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '<br/>\n '>, <django.template.defaulttags.WidthRatioNode object at 0x7f3fb62a19d0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7f3fb62a1dd0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7f3fb642a290>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.relevance_score>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <IfNode>, <TextNode: '\n <li clas'>, <Variable Node: content_detail.data_source.name>, <TextNode: '\n '>, <Variable Node: content_detail.data_source.id>, <TextNode: ')\n '>, <Variable Node: content_detail.data_source.type>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.url>, <TextNode: '" target="_blank">'>, <Variable Node: content_detail.data_source.url>, <TextNode: '</a></td>\n '>, <Variable Node: content_detail.data_source.description>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.weight>, <TextNode: '</td>\n '>]>} {'ticker': 'LPSN'}
components/footer.html
/mnt/disks/pennyloupe_disk/pennyloupe/templates/components/footer.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb5764720>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LPSN/content/7512554'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fafd86b60>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fafd86b60>>'} {'content_detail': {'content': <Content: Q4 2024 LivePerson Inc Earnings Call - >, 'content_content': <ContentContent: Content ID: 4817800>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': None}, 'ticker': 'LPSN'} {'block': <Block Node: footer. Contents: [<TextNode: '\n '>, <IncludeNode: template=<FilterExpression '"components/footer.html"'>>, <TextNode: '\n '>]>}

Context processors

django.template.context_processors.csrf
Toggle context {'csrf_token': <SimpleLazyObject: <function csrf.<locals>._get_val at 0x7f3fb5764720>>}
django.template.context_processors.debug
Toggle context {}
django.template.context_processors.request
Toggle context {'request': <WSGIRequest: GET '/ticker/LPSN/content/7512554'>}
django.contrib.auth.context_processors.auth
Toggle context {'user': <SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fafd86b60>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fafd86b60>>)}
django.contrib.messages.context_processors.messages
Toggle context {'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LPSN/content/7512554'>>, 'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30, 'ERROR': 40}}

Cache calls from 1 backend

Summary

Total calls Total time Cache hits Cache misses
0 0 ms 0 0

Commands

add get set get_or_set touch delete clear get_many set_many delete_many has_key incr decr incr_version decr_version
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Signals

Signal Receivers
class_prepared
connection_created register_type_handlers
got_request_exception
m2m_changed
post_delete
post_init
post_migrate create_permissions, create_contenttypes
post_save create_initial_trade_position
pre_delete
pre_init
pre_migrate inject_rename_contenttypes_operations
pre_save
request_finished close_old_connections, close_caches, reset_urlconf
request_started reset_queries, close_old_connections
setting_changed reset_cache, clear_cache_handlers, update_installed_apps, update_connections_time_zone, clear_routers_cache, reset_template_engines, storages_changed, clear_serializers_cache, language_changed, localize_settings_changed, complex_setting_changed, root_urlconf_changed, static_storage_changed, static_finders_changed, form_renderer_changed, auth_password_validators_changed, user_model_swapped, update_toolbar_config, reset_hashers, Options.setting_changed, update_level_tags, uninstall_if_needed, clear_caches, StaticFilesStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties