AI

AI-powered shopping assistant trained on Reddit reviews

Hacker News

AI-powered shopping assistant trained on Reddit reviews

Last June I was shopping for a new gaming mouse, and I read around 10 reviews, blogs and watched YouTube videos to make a decision. I thought about all this time spent, and started to build yfind.co, it's still a work in progress, but you can search for whatever product you are shopping for and it'll give you suggestions based on Reddit's threads. Next step is to add more reviews sources (outside or Reddit) to improve the results I'd would love for you to try yfind.co and would really appreciate any feedback!

Share card

Actual performance

2points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
82%82% 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: new · Missing: mac, agents, macos
80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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 · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Sl
Slang Thesaurus – An AI-Powered Slang Thesaurus Trained on UrbanDict33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Slang Thesaurus – An AI-Powered Slang Thesaurus Trained on UrbanDict

Hacker News4
Honestly
Honestly25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Real reviews from Reddit & YouTube when shopping online

Product Hunt+359Browser Extensions
Fridgevalet
Fridgevalet52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shopping assistant for anything with a barcode

Indie Hackers2community
Ge
GeniusPlants – AI-Powered Gardening Assistant25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GeniusPlants – AI-Powered Gardening Assistant

Hacker News1
Testlyze
Testlyze36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-powered assistant for cosmetic and pharma formulation.

Product Hunt+6
Se
Sense2vec model trained on all 2015 Reddit comments68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sense2vec model trained on all 2015 Reddit comments

Hacker News225
Compara AI - Amazon shopping assistant
Compara AI - Amazon shopping assistant53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Never fall for fake reviews again

Product Hunt+7
ShopLater
ShopLater38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Powered Shopping List

Indie Hackerscommitment-side-project
Reddit Bests
Reddit Bests55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reddit reviews aggregator

Indie Hackers1community
AI
AI powered shopping returns assistant making returns effortless45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI powered shopping returns assistant making returns effortless

Hacker News1