He

Hermes Notes PKB

Hacker News

Hermes Notes PKB

20+ years of PKMS obsession plus big enough chops to be dangerous at vibe-coding have led to this: a full-featured, block-first personal knowledge base that you host yourself and can connect to your own AI. Imagine if Capacities and Obsididan had a FOSS baby, and Ollama was the doula. Under active development, and eager for feedback!

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: notes, coding · Missing: mac, agents, macos
76%76% 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.
TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus, host · Missing: platform, intuitive, reviews
44%44% 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
43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: llama, io · Missing: https docs, excited, just released
37%37% 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 · Strong signals: active · Missing: arr, mrr, revenue
34%34% 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
16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Humalike x Hermes
Humalike x Hermes51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Social intelligence plugin for Hermes Agent

Product Hunt+464API
He
Hermes WebTop ~ Experience Hermes Agent without Hassle30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hermes WebTop ~ Experience Hermes Agent without Hassle

Hacker News2
We
Web Client for Hermes Agent35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Web Client for Hermes Agent

Hacker News1
Ho
Host your own XMPP-based chatrooms with Hermes54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Host your own XMPP-based chatrooms with Hermes

Hacker News31
AI
AI Hermes Agent – An independent Hermes Agent install guide23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Hermes Agent – An independent Hermes Agent install guide

Hacker News3
Br
Brian’s Notes48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Brian’s Notes

Hacker News3
Ta
Take your sticky notes everywhere with you49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Take your sticky notes everywhere with you

Hacker News2
Ex
Excalidraw for Sticky Notes51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Excalidraw for Sticky Notes

Hacker News2
I
I wrote my lecture notes in Typst52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I wrote my lecture notes in Typst

Hacker News8
Up
UpWord Notes48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

UpWord Notes

Hacker News1