Co

Compare Lift.do habits and look for simple trends

Hacker News

Compare Lift.do habits and look for simple trends

Hey all, Last weekend I spent some time building a little web-app to place my Lift.do habit check-ins on a chart to look for any simple correlations. This was useful for my partner and I as she tracks her back pain and other activities in Lift.do so we could see some correlation between them. Thought I would post it on HN in case anyone else finds it useful. Feel free to give any feedback or comments as well. Source is on GitHub: https://github.com/lukemurray/lift-trends Check it out live here: http://lift-trends.herokuapp.com For the devs, it is a real simple app using AngularJS and a tiny Node.js backend (using express). Note: you have to upload your exported habits because Lift.do does not have an API currently. And to be honest I didn't want to invest too much time in this. Check the source I'm not doing anything with the uploads, they get deleted. Also you can run it yourself instead if you wish. Cheers, Luke

Share card

Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: tiny, using · Missing: mac, agents, macos
81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Co
Compare Trends on HN46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Compare Trends on HN

Hacker News2
Ha
Hackerbuzz – Simple HN trends45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hackerbuzz – Simple HN trends

Hacker News4
Co
Compare Trends of Reddit52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Compare Trends of Reddit

Hacker News2
Co
Compare Trends of Reddit52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Compare Trends of Reddit

Hacker News1
Co
Compare Trends on Reddit52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Compare Trends on Reddit

Hacker News5
Wi
WikDict, Look up translations – free, libre and simple32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WikDict, Look up translations – free, libre and simple

Hacker News3
Te
TechUpYourMind – Compare Tech Trends Across: Google Trends,So,HN,GitHub51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TechUpYourMind – Compare Tech Trends Across: Google Trends,So,HN,GitHub

Hacker News2
Co
Covid-19 Trends by Glimpse40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Covid-19 Trends by Glimpse

Hacker News2
Pr
Programmer Trends49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Programmer Trends

Hacker News4
OOIR
OOIR31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trends in the sciences

Indie Hackers1$50/mobooks