Te

Terrible Devs – Reminders to work on your GitHub projects

Hacker News

Terrible Devs – Reminders to work on your GitHub projects

Share card

Actual performance

5points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
67%67% 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
31%31% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
21%21% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

St
Starminder – periodic reminders about your starred GitHub projects33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Starminder – periodic reminders about your starred GitHub projects

Hacker News1
Si
Six Unconventional Github Projects59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Six Unconventional Github Projects

Hacker News2
Fi
Find related GitHub projects58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find related GitHub projects

Hacker News2
Wo
Work on toy projects with someone61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Work on toy projects with someone

Hacker News2
Wo
Work on unfinished projects56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Work on unfinished projects

Hacker News1
SendPigeon
SendPigeon51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Transactional email API for devs with too many side projects

Indie Hackerscommitment-side-project
He
Helps busy devs to promote their GitHub projects56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Helps busy devs to promote their GitHub projects

Hacker News2
Om
Omegle for Devs47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Omegle for Devs

Hacker News1
Sh
Shoot missiles at Ruby devs43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shoot missiles at Ruby devs

Hacker News4
Du
Dumblr – tumblr for devs47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dumblr – tumblr for devs

Hacker News1