WhichNocodeTool

WhichNocodeTool

Indie Hackers

Directory of real nocode projects to learn what can be built

Every time I start a new nocode project I spend days deciding on my stack, and even once decided, I doubt my tool choices. WhichNocodeTool helps by showing real projects and their stacks to learn what can built

Share card

Actual performance

3followers
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, code · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
21%21% 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
17%17% 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

Made With JEV
Made With JEV10%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The #1 directory of projects built with Jev.

TrustMRRArtificial Intelligence
Real Kana
Real Kana75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Learn Hiragana and Katakana

Indie Hackers1$500/moeducation
I
I built a platform for projects to find maintainers64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a platform for projects to find maintainers

Hacker News49
A
A Directory of 500 HN Side Projects69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Directory of 500 HN Side Projects

Hacker News15
I
I made an open source directory of where to showoff your projects66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made an open source directory of where to showoff your projects

Hacker News185
Di
Directory of Breeding Birds in Puerto Rico36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Directory of Breeding Birds in Puerto Rico

Hacker News1
Di
Directory of NextJS Starters and Boilerplates35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Directory of NextJS Starters and Boilerplates

Hacker News2
I
I made a directory of directories (seriously)36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a directory of directories (seriously)

Hacker News5
Di
Directory of mashups36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Directory of mashups

Hacker News2
escort directory
escort directory39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

escort directory

Indie Hackers