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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
1•sakanakana00•1m ago•0 comments

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

https://divvyai.app/
1•pieterdy•4m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
2•Tehnix•4m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
1•haizzz•6m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
2•Nive11•6m ago•3 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...
1•hunglee2•10m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
1•chartscout•12m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
2•AlexeyBrin•15m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•16m 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•21m ago•0 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•23m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•26m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•26m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•27m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
2•birdculture•32m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•38m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•39m ago•1 comments

Slop News - HN front page right now as AI slop

https://slop-news.pages.dev/slop-news
1•keepamovin•44m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•46m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
3•tosh•52m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•55m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•56m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
3•goranmoomin•1h ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•1h ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•1h ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•1h ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
4•myk-e•1h ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•1h ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
5•1vuio0pswjnm7•1h ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
4•1vuio0pswjnm7•1h ago•0 comments
Open in hackernews

Show HN: Actionbase – A database for likes, views, follows at 1M+ req/min

https://github.com/kakao/actionbase
8•em3s•1w ago

Comments

em3s•1w ago
Hi HN,

I built Actionbase at Kakao (KakaoTalk, ~50M MAU).

It started because the same features—likes, views, follows—were being rebuilt across teams, each hitting similar scaling walls.

It's been in production for years, serving Kakao services at over 1M requests per minute.

Our approach: precompute everything at write time. Reads are just lookups—no aggregation, predictable latency.

Currently backed by HBase. Lighter backends (e.g., SlateDB) on the roadmap.

Try it — just Docker:

    docker run -it ghcr.io/kakao/actionbase:standalone
Quick Start and production stories are in the README.

Genuinely curious: are there existing systems for high-volume interaction data (likes, follows, views) that I missed?

Happy to answer questions.

kocialnews•1w ago
Looks a little over engineering, can't just Kafka and any key value db could do the same job with Redis(if required)?
em3s•1w ago
You might be right! Kafka + KV store + Redis can definitely work for this.

Our teams typically started with MySQL, then added Kafka and Redis as they scaled. The pain wasn't the initial build—it was what happened after: every team implemented forward/reverse lists, counts, and indexes slightly differently. Retries and out-of-order events caused subtle drift. Migrations became error-prone because the "rules" for derived data lived in application code scattered across services.

That's what Actionbase does: versioned state transitions, pre-computed indexes, idempotent mutations—all in one place. If your current setup is working and correctness isn't drifting, you probably don't need this.

I wrote more about this trade-off in https://github.com/kakao/actionbase/discussions/32 —genuinely asking whether we overbuilt.

nubskr•1w ago
Won't something like scyllaDB be a better choice for such workloads ? as long as you're fine with eventual consistency ofc
em3s•1w ago
You might be right! ScyllaDB is a solid choice—eventual consistency is often fine for interactions.

The friction we hit was less about storage and more about fragmentation: teams kept rebuilding the same features (likes, views, follows) with slightly different implementations. Counters drifted, toggle logic varied, indexes duplicated.

If you have one team and one use case, ScyllaDB could work well. Our problem was multiple teams hitting the same walls repeatedly.

That said, HBase is just the storage backend—Actionbase is the interaction layer on top. We'd consider ScyllaDB as a backend too. Currently HBase is battle-tested in production, while SlateDB would need dev effort. We'd love community input on direction: https://github.com/kakao/actionbase/discussions/144