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Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•2m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•5m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•5m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•11m ago•0 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•12m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•12m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•15m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•18m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•18m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•18m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•18m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•20m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•22m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•24m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•27m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•27m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•27m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•30m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
5•sakanakana00•33m ago•1 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•36m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•36m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•38m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•38m ago•6 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•42m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•44m ago•1 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•47m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•48m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•53m ago•1 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•55m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•58m ago•0 comments
Open in hackernews

Show HN: Tracktions – Bringing institutional trading structure to retail traders

https://tracktions.com/
1•Tracktions•1mo ago

Comments

Tracktions•1mo ago
Hey HN! I'm the solo developer behind Tracktions, a trading system I built to solve a problem I experienced firsthand: 70-80% of retail traders lose money not because of bad strategies, but because they can't follow their own rules consistently.

The core problem: Retail traders lack the systematic structure that institutions use—defined rules with accountability, real-time risk management, and psychological oversight. Most "trading journals" are just passive data dumps that traders abandon within 30 days.

What Tracktions does differently:

Rule Adherence System: Define your trading rules once, mark adherence on every trade, see direct correlation between following your system and profitability

Risk Manager: Real-time alerts before you violate position sizing, max daily loss, or portfolio heat limits

Psychological Insights: Tag trades with mood/mistakes, surface emotional patterns (FOMO, revenge trading, overconfidence) impacting performance

Daily Reflection System: Three questions daily (rules followed? risk respected? psychological patterns?) to separate strategy problems from execution problems

The key insight: Most traders jump to new strategies when they lose money, but Tracktions shows you whether your system actually works when you follow it. If it does—your problem is discipline, not strategy. If it doesn't—even with perfect execution—then refine your approach with data, not guesswork.

Tech stack: Go backend, PostgreSQL, Angular 20+, hosted on AWS (EC2, RDS). Solo-built over the past year while working full-time as SDE.

Current stage: Beta-ready with core features live. Offering free beta till Jan 31st 2026 for early users (primarily targeting Indian retail traders initially, but open to all feedback).

Why I built this: I needed a structure in my Trading and existing products in this space don't have support for Indian brokers. So why not use my existing skills to support my evolving skill.

Happy to answer questions about architecture decisions, trading psychology concepts, or product strategy!