Bilanc

Bilanc

Measure the impact of AI on Engineering Productivity

5.0
1 review

233 followers

Bilanc is an AI-powered Engineering Management Platform. We help companies measure and improve developer productivity using AI. We use LLM’s to estimate the effort put into every merged PR, and we measure the boost that AI has on engineering productivity.
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What do you think? …

Andis Cirulis
💎 Pixel perfection

Hey, Bilanc customer here (from Aerones.com). Long story short — when Samuel first demoed the product to me, I was pretty skeptical. Metrics like lines of code (LoC) on their own can be misleading or only tell part of the story. But combining all that data with LLMs turned out to be surprisingly powerful. We ran a demo and got our first analysis back in under 24 hours (data ingestion period), and it closely aligned with my own subjective analysis of the dev team. Top and bottom performers were clearly identified. Impressive start & good luck.

Sam Plank

Bilanc is incredible. It's the first time I've seen AI's impact on engineering productivity quantified.

Samuel Akinwunmi

@samuelmgplank thank you so much for the support Sam!

Runbo Li

When I worked at Meta, engineers would obsess over their diffs and lines of code and how they compared with others to make sure they were meeting expectations and productive. But those are proxies for productivity at best, especially with AI, so glad you're taking an approach to this that's more nuanced. I think engineers, as well as managers, will get value out of this for their improvement.

Samuel Akinwunmi

@runs thanks so much for your support. we are definitely trying to take a different approach to the norm. we think that eng management could be simply much better! would love to keep talking about this with you :)

Lewis Lebentz

Great work Sam! 🔥


Does it integrate with GitHub Enterprise?

Samuel Akinwunmi

@lewislebentz yep integrates with GitHub Enterprise out of the box :) jump in at https://bilanc.co - let me know if you need support. happy to jump on a call anytime!

Ema Elisi

@0x_s13i For teams where collaboration complexity varies (e.g., a simple solo fix vs. a cross-team refactor), how does the model account for factors like review cycles or architectural discussions that aren’t directly reflected in code output?

Joshua Odigie

Amazing-looking product with such a seamless UI! I love how super-tailored it is for its ICP and how many use cases it solves! Great work @0x_s13i and team, you guys are on to a real winner!

Paul Babs

Hey Samuel, this is really awesome. Measuring productivity in engineering is no small feat. All the best.


Paul