I built an AI tools hub with 70 categorized and reviewed apps

Hacker News

Over the last 3 weeks, I built a website to organize 70+ AI tools into a searchable, reviewed, and categorized hub. Use case: I was constantly sharing AI tools with friends & colleagues, but the available directories felt outdated, shallow, or spammy. So I built my own: - Tools are categorized (e.g. writing, voice, code, automation) - Marked clearly as free/paid - Includes brief reviews, ROI notes, and usage tips - Fully searchable and updated daily - Working on tool ratings, comparisons, and a “trending” leaderboard Website: https://www.toolsverse.tools/ I’d love feedback and suggestions — and maybe more tools to add. Thanks for reading!

Visit product View on Hacker NewsJul 24, 2025

Share card

Actual performance

10points

2comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

51%51% 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.

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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

39%39% 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: apps · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apps, notes, code · Missing: mac, agents, macos

32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

Similar products

Zekai17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

2,180+ AI tools reviewed & scored 1–10 for 38 professions

Product Hunt+3

Zolilo77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get found. Get answered. Get reviewed.

Indie Hackerscommitment-full-time

I reviewed 900 AI tools. Here are top picks for entrepreneurs38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I reviewed 900 AI tools. Here are top picks for entrepreneurs

Hacker News4

Surge46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Obsessively reviewed marketing tools.

Indie Hackers1content

300aidirectories20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI tools

Indie Hackers

topaiinfluencers32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TOP AI Tools

Indie Hackerscommitment-side-project

X114 AI Tools Hub54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Best AI Tools Directory & Reviews - X114 AI Tools Hub | X114

Indie Hackerscommitment-side-project

We Built an AppStore for TestFlight Apps65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We Built an AppStore for TestFlight Apps

Hacker News16

First AppServer built for deploying containerized apps50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

First AppServer built for deploying containerized apps

Hacker News1

Renas Ai52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All-in-one AI Tools

Indie Hackerscommitment-full-time

Browse all products Analyze your launch