secinsights.ai – An open-source full-stack app using LlamaIndex

Hacker News

Hi HN, A few weeks ago, we stealth launched SEC Insights on Product Hunt and were thrilled to reach the top 5! What is SEC Insights? It harnesses the Retrieval Augmented Generation (RAG) capabilities of LlamaIndex to provide answers about SEC 10-K & 10-Q documents. The enthusiastic reception we received on Product Hunt prompted us to open-source our project. Now, developers can use our project either as a reference or they can fork it entirely for their LLM-powered applications. We at LlamaIndex built this to help developers move their LLM app ideas from prototype to production. We're very open to feedback, Github issues, and PRs! Also, keep an eye on our YouTube page for a walkthrough and setup tutorial we have in the works! https://www.youtube.com/@LlamaIndex

Visit product View on Hacker NewsSep 6, 2023

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Actual performance

7points

Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos

94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: llama, ide, io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: answers · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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