As
Ask Lethain – GPT-3 model trained on Will Larson’s blog posts
Hacker NewsAsk Lethain – GPT-3 model trained on Will Larson’s blog posts
Ask Lethain is a chat bot trained on the blog posts from the popular "Irrational exuberance" [1] blog by Will Larson. It has the ability to answer questions about software engineering and engineering leadership. I'm looking for feedback so I can make it even better, so if you have the time to check it out I'd really appreciate the help! Thanks in advance! [1] https://lethain.com/
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model · Missing: mac, agents, macos56%56% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released45%45% predicted probability of success on Hacker News, 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, intuitive31%31% 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, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Pr
ProductHunt for Blog Posts47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ProductHunt for Blog Posts
Hacker News9Ki
Kickass Blog Posts48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Kickass Blog Posts
Hacker News2Tube2Blog48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Repurpose Videos into Blog posts
Indie Hackers22advertisingMy
My blog posts about a Lisp interpreter in OCaml. What can I improve?66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My blog posts about a Lisp interpreter in OCaml. What can I improve?
Hacker News2Co
Convert Videos into Blog Posts60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Convert Videos into Blog Posts
Hacker News2Tw
Tweets to Blog Posts42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tweets to Blog Posts
Hacker News1Th
ThiruvalluvarGPT – GPT model trained using Tamil Tirukkural Poems46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ThiruvalluvarGPT – GPT model trained using Tamil Tirukkural Poems
Hacker News2Ad
Add clap and reactions to your blog posts easily44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Add clap and reactions to your blog posts easily
Hacker News2How To Get Started50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interviews of doers through blog posts and podcasts
Indie Hackers1communitySo
Sorcerer – Professionally written blog posts for your company53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sorcerer – Professionally written blog posts for your company
Hacker News2