MavenDoc

MavenDoc

Product Hunt

MavenDoc is a visualization and data anonymization platform

Share card

Actual performance

3upvotes
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
75%75% predicted probability of success on BetaList, 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 · Strong signals: platform · Missing: plus, intuitive, reviews
63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Fu
Fullstack D3 and Data Visualization51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fullstack D3 and Data Visualization

Hacker News6
Op
OpenIndoor visualization of OSM indoor data61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenIndoor visualization of OSM indoor data

Hacker News28
The GitSky
The GitSky40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data Visualization

Indie Hackers1$90/modata
Da
Data visualization in D3 on US obesity data51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data visualization in D3 on US obesity data

Hacker News2
Data For Visualization
Data For Visualization33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Blog for data visualization. Storytelling with data..

Indie Hackers1analytics
I
I made a lightweight data visualization platform43%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 lightweight data visualization platform

Hacker News1
explot
explot44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No-code data exploration and visualization

Indie Hackerscommitment-side-project
Si
Simple Binary Data Visualization in R52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Binary Data Visualization in R

Hacker News63
R/
R/ggplot2 data visualization without coding51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

R/ggplot2 data visualization without coding

Hacker News2
Co
Correspondence - visualization of translations43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Correspondence - visualization of translations

Hacker News1