An open source alternative to Wakatime
I built an open source alternative to wakatime because I don't think a wakatime premium should cost more than a Github copilot subscription. The problem wakatime solves is rather straightforward. Their hardest bit of business is creating all those plugins, besides that the backend just ingests plugin data and organizes it into a dashboard that gives insights into developer work habits. I also felt features like goals, invoices and management of clients shouldn't require premium subscription. And for the most part, I feel I'm right. Especially after implementing these features. The website is…
In plain words
Wakana is an open source platform that tracks developer coding habits and productivity, similar to Wakatime. It collects data from editor plugins and displays insights through a dashboard, while offering features like goals, invoices, and client management without requiring a premium subscription. The tool is designed for developers and freelancers who want detailed metrics on their coding time and work patterns.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I built an open source alternative to wakatime because I don't think a wakatime premium should cost more than a Github copilot subscription. The problem wakatime solves is rather straightforward. Their hardest bit of business is creating all those plugins, besides that the backend just ingests plugin data and organizes it into a dashboard that gives insights into developer work habits. I also felt features like goals, invoices and management of clients shouldn't require premium subscription. And for the most part, I feel I'm right. Especially after implementing these features. The website is now in beta testing and I'd love your feedback on some of the metrics you'd like to see that are not currently on the wakatime website. I've already added stats about the amount of coding time spent writing code. And for me it feels like a big deal thus far. I've also been playing with an idea of showing developer focus/attention as buckets of heartbeats over time or heartbeat frequency over time. I feel there is more. Looking forward to hearing your feedback
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2025
the whole month →
Mimic Human Research & Save Findings in AI Knowledge Base
AI · 2025 · sider.ai
