KraftApp AI
Indie HackersDescribe it. We build it. Customers find it.
Every other builder stops at the preview URL; KraftApp exists because that's where the hard part actually starts.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos51%51% predicted probability of success on Product Hunt, 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, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist · Missing: https docs, excited, just released41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting29%29% predicted probability of success on Indie Hackers, 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, revenue25%25% 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, crypto10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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Delight your customers
BetaListId
Identifying, Segmenting and Contacting our Customers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Identifying, Segmenting and Contacting our Customers
Hacker News11Ou
Our first three featured customers57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our first three featured customers
Hacker News3Cu
Customers are your best advertisers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Customers are your best advertisers
Hacker News9Sh
ShipIT – From Customers to Product43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ShipIT – From Customers to Product
Hacker News2Novaseed21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find customers already asking for your product
Indie HackersWe
We Just Landed Our First 5 Customers28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We Just Landed Our First 5 Customers
Hacker News1Bl
Bliss scale – build your customers journey42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bliss scale – build your customers journey
Hacker News1Carro25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover your influential customers.
Indie HackersQuoteHard30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A professional Quoting system will get you more customers.
Indie Hackers1productivity