Keenable – A different web search API for AI agents

Hacker News

Hey HN! We built https://keenable.ai , a different web search API for AI agents. Keenable searches our own 100B+ page index. We are focused on low cost and latency (p95 <250ms from us-east). We don’t believe in benchmaxxing, so we open-sourced our internal benchmarking suite, NEEDLE (available at https://keenableai.github.io/needle ): a live benchmark that compares Keenable with other search APIs on fresh agent-like queries. I spent seven years at Amazon as a scientist working on web grounding for Alexa/AGI, and my co-founder Andrey previously led search at Yandex. We started Keenable because agents search differently from humans, and we wanted to build around those patterns directly. The API is available now and we provide a free allowance of 100,000 requests a month. It also exposes a novel SQL-like interface to the web, which is useful for structured extraction and agent workflows. Happy to answer questions about the index, crawl, ranking, latency, or benchmarking.

Visit product View on Hacker NewsAug 25, 2026

Share card

Actual performance

12points

5comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, apis · Missing: mac, macos, cursor

95%95% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% 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

20%20% 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

Similar products

Search1API37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Web Search API for AI Agents

Indie Hackerscommitment-full-time

Web search API by Crustdata94%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Accurate and the fastest web search API for AI Agents

Product Hunt+334Sales

Search1API30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

One API to search, crawl, and ingest the live web for AI agents.

AppSumo

CoinMarketBook – CoinMarketCap, but with a different metric48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CoinMarketBook – CoinMarketCap, but with a different metric

Hacker News46

Different Dimension Me40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Different Dimension Me

Hacker News1

Kishi, a different approach to spaced repetition system64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kishi, a different approach to spaced repetition system

Hacker News3

Plotting thinkpad temperature with different kernels40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Plotting thinkpad temperature with different kernels

Hacker News2

Craete53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Craete Different

TrustMRR4$69/moArtificial Intelligence

AI debates between AI agents with different personas23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI debates between AI agents with different personas

Hacker News2

Brave Search API61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Brave Search API

Hacker News12

Browse all products Analyze your launch