Sh

Show HN - My blog for one-man startups

Hacker News

Show HN - My blog for one-man startups

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
70%70% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
46%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.
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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
29%29% 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, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ri
Ridiculously over-engineered my blog64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ridiculously over-engineered my blog

Hacker News13
Ri
Ridiculously over-engineered my blog64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ridiculously over-engineered my blog

Hacker News15
Mi
Migrating a Jekyll blog to GatsbyJS45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Migrating a Jekyll blog to GatsbyJS

Hacker News2
Go
Goose.us – Another blog from a wannabe philosopher48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Goose.us – Another blog from a wannabe philosopher

Hacker News4
Bl
Blog made with CouchDB/PouchDB46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Blog made with CouchDB/PouchDB

Hacker News6
Co
Cotter – Members-Only Blog35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cotter – Members-Only Blog

Hacker News3
My
My Blog46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Blog

Hacker News6
My
My Blog46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Blog

Hacker News2
My
My redesigned blog38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My redesigned blog

Hacker News2
Treanches
Treanches41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A blog

Indie Hackers2education