Docz

Docz

Indie Hackers

It has never been so easy to document your things!

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
34%34% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
26%26% 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, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Sa
San Francisco Insider Things to Do60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

San Francisco Insider Things to Do

Hacker News3
Th
Things to do during Coronavirus outbreak42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Things to do during Coronavirus outbreak

Hacker News2
Shortlist
Shortlist33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get Things Done

Indie Hackerscommitment-side-project
Top Three Things
Top Three Things29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get. Things. Done.

Indie Hackers2productivity
Au
Automating things has never been so easy44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automating things has never been so easy

Hacker News2
FolioReady
FolioReady47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Document collection made easy

Indie Hackers1b2b
rigélblu
rigélblu33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making it easy to get how things work in the world.

Indie Hackers1education
Su
Surprisingly neat things you can do with StratifiedJS [video]36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Surprisingly neat things you can do with StratifiedJS [video]

Hacker News2
Im
Implementation of Micropython and Web of Things55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Implementation of Micropython and Web of Things

Hacker News2
iL
iLend – Keep track of the things you lend and borrow44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

iLend – Keep track of the things you lend and borrow

Hacker News6