Built an app to filter out fake ecom gurus

Hacker News

So many fake gurus online selling “how to make millions on Shopify” courses — but most of them never made anything themselves. I got tired of it and built a small app in 1.5 days (with Cursor) to do the opposite: If you’re actually running a store and doing numbers, you can connect it, get verified, and show up on the leaderboard. You can also optionally share your X / Discord if you’re open to mentoring, consultation, or just connecting with other real builders. No BS, just real stores and stats.

Visit product View on Hacker NewsMar 23, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

68%68% 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.

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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: cursor, open · Missing: mac, agents, macos

44%44% predicted probability of success on Product Hunt, 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

41%41% 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: builder · Missing: plus, platform, intuitive

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

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

24%24% 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

Is this headline fake or not?64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Is this headline fake or not?

Hacker News15

The most fake Commodore 6461%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The most fake Commodore 64

Hacker News5

Fake BSOD64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fake BSOD

Hacker News1

An app search engine that can filter out fake reviews58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An app search engine that can filter out fake reviews

Hacker News7

Ergohacking, Filter for ergonomic hacking keyboards66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ergohacking, Filter for ergonomic hacking keyboards

Hacker News13

Cuckoo Filter in Ruby48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cuckoo Filter in Ruby

Hacker News74

Intentionally subtle headphone crossfeed filter48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Intentionally subtle headphone crossfeed filter

Hacker News51

FakeSnap - create fake snapchats50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FakeSnap - create fake snapchats

Hacker News2

Fake Excuse46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Because sometimes... you just can’t, so use Fake Excuse

Product Hunt+2

Plait.py – a fake data modeler49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Plait.py – a fake data modeler

Hacker News85

Browse all products Analyze your launch