Aw
Awe - Dynamic web based reports/dashboards in Python
Hacker NewsAwe - Dynamic web based reports/dashboards in Python
Share cardActual performance
5points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto84%84% 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 · Missing: plus, platform, intuitive60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Aw
Awe – Dynamic web based reports/dashboards in python58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Awe – Dynamic web based reports/dashboards in python
Hacker News6Co
Corrello – Dashboards and Reports for Trello56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Corrello – Dashboards and Reports for Trello
Hacker News56Py
Python 3.5 Async Web Crawler Example66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python 3.5 Async Web Crawler Example
Hacker News28Py
Python web crawling framework for everyone based on asyncio64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python web crawling framework for everyone based on asyncio
Hacker News4
Semaphor63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SQL+Python based interactive dashboards for your apps
Product Hunt+8Dy
Dynaconf – Let your Python settings to be Dynamic51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dynaconf – Let your Python settings to be Dynamic
Hacker News3Py
Python 3 Flask web-based curve and surface fitter41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python 3 Flask web-based curve and surface fitter
Hacker News1Da
Datapane – A new way to build reports, dashboards, and apps in Python73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Datapane – A new way to build reports, dashboards, and apps in Python
Hacker News55Py
Pyrtls, rustls-based modern TLS for Python56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pyrtls, rustls-based modern TLS for Python
Hacker News22Fi
File-based cache for slow Python functions54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
File-based cache for slow Python functions
Hacker News73