Kr

Krira Augment – Production-ready RAG in minutes

Hacker News

Krira Augment – Production-ready RAG in minutes

I am the Founder & CEO of Krira Labs that builds production-ready Generative AI infrastructure. Our First Product : Krira Augment - Production-ready RAG in minutes. Krira Augment is a system that aims to: * Simplify various end-to-end RAG pipelines * Optimize costs * Provide plug-and-play integrations for developers We are going to launch Krira-Augment in next 2 months. We are still in the early stages of development, and we would really appreciate any feedback from this community. To thank you for your time, We are giving out a Krira Augment's Starter Plan to the first 100 users for free on our waitlist. Once, Krira-Augment is live Waitlist: https://www.kriralabs.com/waitlist

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
66%66% 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.
TrustMRRFits verified-revenue profile · Strong signals: month, users · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
40%40% 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 · Strong signals: users · Missing: plus, platform, intuitive
28%28% 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
25%25% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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