I

I built an AI agent to monitor HN for interesting posts

Hacker News

I built an AI agent to monitor HN for interesting posts

Hi HN! I built an agent using Fabrk AI that periodically checks “top”, “show” and “ask” HN posts and sends me a summary email if it is AI related. Here is the repo with more details including a demo video: https://github.com/FabrkAI/home The agent has several tools that allow it to get a list of posts, get one most, store the most recently reviewed article number and send an email. There’s even a little bonus at the end of the video about giving the agent more HN functionality ;). You can configure the agent to query on any cadence and filter on any topic. This agent is publically available. The link to fork the agent is in the GitHub repo.

Share card

Actual performance

2points
8comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, email, using · Missing: mac, agents, macos
73%73% 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 · Strong signals: ide, io, including · Missing: https docs, excited, just released
45%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, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: including · Missing: supports, reddit linkedin, podcasting
28%28% 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
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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Th
There are 100s of similar Monitor Arms so I built this54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

There are 100s of similar Monitor Arms so I built this

Hacker News41
Th
There are 100s of similar Monitor Arms so I built this54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

There are 100s of similar Monitor Arms so I built this

Hacker News1
Th
There are 100s of similar Monitor Arms so I built this54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

There are 100s of similar Monitor Arms so I built this

Hacker News32
AI
AI Agent in Jupyter – Runcell41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Agent in Jupyter – Runcell

Hacker News8
MV
MVAR – Deterministic sink enforcement for AI agent20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MVAR – Deterministic sink enforcement for AI agent

Hacker News1
Kollab
Kollab14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All-in-one AI Agent

Indie Hackers
Kollab
Kollab37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All-in-one AI Agent

Indie Hackerscommitment-full-time
LinkedNav
LinkedNav14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Agent

Indie Hackers
LinkedNav
LinkedNav14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Agent

Indie Hackers
Bilbo
Bilbo84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Metabase AI Agent

Product Hunt+171Chrome Extensions