Rhizata

Rhizata

Indie Hackers

Database, meet world

Rhizata enables your business to adopt a micro-service / service oriented architecture out of the box. Our technology autogenerates RESTful API endpoints in 10 seconds or less. Spend more time building awesome apps.

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal
68%68% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
67%67% 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 · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apps · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

A
A database for rollercoasters from all around the world66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A database for rollercoasters from all around the world

Hacker News7
Me
Meet Dockship37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Meet Dockship

Hacker News52
Me
Meet Geisha73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Meet Geisha

Hacker News33
vizgenie
vizgenie33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No more PromQL headaches – Meet VizGenie

Indie Hackers1ai
Su
SummaDB, a hierarchical database that syncs with PouchDB60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SummaDB, a hierarchical database that syncs with PouchDB

Hacker News5
No
Noms – The versioned, forkable, syncable database68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Noms – The versioned, forkable, syncable database

Hacker News43
A
A reactive Database61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A reactive Database

Hacker News1
A
A reactive Database61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A reactive Database

Hacker News1
Di
Digestable Ingredient Database68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Digestable Ingredient Database

Hacker News2
Ne
NebulaDB, my first attempt at a database63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NebulaDB, my first attempt at a database

Hacker News30