I Launched My AI Blog Writing Agent

Hacker News

hey, been working on this hard for months. Enter your blog topic, and optionally other fields, then agents generate post for you. Check out the blog page for examples to see the quality of the results. There is image genrator too It uses langchain js agents with tavily for web search.Comes with a notion style editor, and Ai generating in editor. Really excited to keep iterating on it and building more things on the same app like an Ai Personal coach and assistant over text message and voice. Let me know what you think! here is the link to product hunt page, please consider upvoting! ;) https://www.producthunt.com/posts/agentic

Visit product View on Hacker NewsJan 26, 2024

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: agents, agent, agentic · Missing: mac, macos, cursor

90%90% 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, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist

39%39% 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

32%32% 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, revenue

24%24% 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

A blog that deletes itself if you stop writing69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A blog that deletes itself if you stop writing

Hacker News3

Blog20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Blog about AI

Indie Hackers

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

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

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

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

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

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 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 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

Browse all products Analyze your launch