Database of 50+ Profitable Products built w NoCode

Database of 50+ Profitable Products built w NoCode

Indie Hackers

Insights into profitable products built w No-Code

Folks on IndieHacker and other platforms such as Makerpad have been asking how actually successful products built with No-Code are, and how to select No-Code tools for their idea.

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Actual performance

1followers
$80MRR/mo
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% 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 NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: profitable · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable · Missing: arr, mrr, revenue
32%32% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Th
There are 100s of similar products so I built this51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

There are 100s of similar products so I built this

Hacker News3
I
I built ProductHunt for .. well, products49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built ProductHunt for .. well, products

Hacker News2
Productz
Productz41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Database of products.

Indie Hackerscommitment-full-time
mo
moronic database built on subdirectories71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

moronic database built on subdirectories

Hacker News6
ESS60 Products
ESS60 Products51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ESS60 is the formulation of C60

Indie Hackerscommitment-full-time
Evo Dyne Products
Evo Dyne Products30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Evo Dyne Products

Indie Hackers
Hempio
Hempio13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CBD products

Indie Hackerscommitment-full-time
Savvygt Savana
Savvygt Savana55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Products

Product Hunt+15
In
InstagramApi42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sass Products

TrustMRRDeveloper Tools
I
I built a Rotten Tomatoes-style platform for durable products56%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 Rotten Tomatoes-style platform for durable products

Hacker News1,392