GraphAsk

GraphAsk

Indie Hackers

Transform dataset into visuals with natural language queries

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
79%79% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% 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
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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

GraphAsk
GraphAsk43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Transform dataset into visuals with natural language queries

Indie Hackers1$800,000/moai
Ma
MagiQL, a GraphQL wrapper for natural language queries59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MagiQL, a GraphQL wrapper for natural language queries

Hacker News7
Ti
Tingy – search videos with natural language queries52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tingy – search videos with natural language queries

Hacker News21
Wr
Write JSON processor queries (jq) in natural language52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Write JSON processor queries (jq) in natural language

Hacker News38
Qu
Queries – Natural Language Data Analysis from Structured43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Queries – Natural Language Data Analysis from Structured

Hacker News3
py
pypiscout.com – Find packages on PyPI with natural language queries55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

pypiscout.com – Find packages on PyPI with natural language queries

Hacker News2
Na
Natural Language Querying43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Natural Language Querying

Hacker News17
Sl
Slatebox, editable visuals based on natural language64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Slatebox, editable visuals based on natural language

Hacker News8
Querri 2.0
Querri 2.059%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Natural‑language data analysis with instant visuals

Product Hunt+197Analytics
Wi
Wit – Natural language for your app45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wit – Natural language for your app

Hacker News321