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Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•30s ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•4m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•5m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•7m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•14m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•15m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•20m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
4•mooreds•20m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•21m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•23m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•27m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•29m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•29m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•30m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•32m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•32m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•33m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•33m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•38m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•40m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•40m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•42m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•43m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•43m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•45m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•46m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•46m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•47m ago•1 comments

Interactive Unboxing of J Dilla's Donuts

https://donuts20.vercel.app
1•sngahane•48m ago•0 comments

OneCourt helps blind and low-vision fans to track Super Bowl live

https://www.dezeen.com/2026/02/06/onecourt-tactile-device-super-bowl-blind-low-vision-fans/
1•gaws•50m ago•0 comments
Open in hackernews

Jangoro – A decision ledger for product teams

https://jangoro.com
1•isaaksmart•3w ago

Comments

isaaksmart•3w ago
Hi HN,

I built Jangoro because I noticed a recurring pattern in the startups I worked for: we would spend months building features based on a single loud customer or a "gut feeling," only to forget a year later why we made that choice or if it actually moved the needle.

Jangoro is a "Decision Accountability System." It essentially acts as a git log for your product strategy.

The Tech Stack:

ReactJS/Remix NodeJS/Express DynamoDB SQLite

I’m using Gemini-2.5 to handle the sentiment analysis of the survey data, but I’ve focused heavily on the "Revenue Weighting" logic to ensure the data is grounded in financial reality, not just word clouds.

What I’d love feedback on:

The Logic: Does the "Customer Truth Graph" make sense to you from a data perspective?

Privacy: Right now, I handle data by manual CSV uploads to an SQLite DB. Is this a dealbreaker for your team?

Use Case: Does your team actually record why you don't build things?

It’s early days and there are definitely some rough edges. I’ll be here to answer any technical questions about the implementation or the data model.