AI

AI Chat with 10-K Reports by Docalysis

Hacker News

AI Chat with 10-K Reports by Docalysis

I'm excited to share with you the Docalysis 10-K Library, a free library of company 10-Ks with an AI that answers your questions! https://docalysis.com/library/10-k-reports This can be useful for those working in finance, as well as those who invest on their own. For example, you can ask it how much Meta is investing in its Reality Labs initiatives ($13.7 billion last year) as well as how much revenue Reality Labs brought in ($2.15 billion). 10-K documents are typically long and boring to read, but Docalysis makes them much more interesting. Not only does it answer your questions, but it tells you what pages it sourced the answer from, so you can explore the context if you want to learn more. Hopefully this will be useful to those of you in finance or just invest in stocks! If there's any company 10-K you want to analyze that we don't have, you can try uploading them yourself. It's free to sign up so try it out today!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: context · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: answers · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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 · Strong signals: revenue · Missing: arr, mrr, profit
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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