GP
GPTs killed my project, or did they?
Hacker NewsGPTs killed my project, or did they?
I had created BarGPT a few months ago, now I used OpenAIs GPTs to create something similar - will it kill BarGPT or be a new channel for users to discover the site?
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, openai · Missing: mac, agents, macos64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, users · Missing: mobile apps, ios, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released46%46% 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, revenue15%15% 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, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Wh
What did you say about my project?44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What did you say about my project?
Hacker News1WT
WTFDYUM: Why the f*** did you unfollow me?62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WTFDYUM: Why the f*** did you unfollow me?
Hacker News7UC
UChicago admissions asked me to find Waldo. I did.63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UChicago admissions asked me to find Waldo. I did.
Hacker News149Di
Did you ever stuck between two dresses?53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Did you ever stuck between two dresses?
Hacker News1To Did List49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Track what you did, and not your almost dids'
Indie HackersDi
Did you know you can multiply matrices without multiplication?51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Did you know you can multiply matrices without multiplication?
Hacker News6Wh
What our Intern did in a day62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What our Intern did in a day
Hacker News3Ho
How Much did it Cost?62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How Much did it Cost?
Hacker News3I
I did a platform like Upwork but for Romania66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I did a platform like Upwork but for Romania
Hacker News6Lo
Loglast – Track the last time you did X47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Loglast – Track the last time you did X
Hacker News2