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Navigara
Connect Your AI Spend Directly to Your Roadmap
183 followers
Connect Your AI Spend Directly to Your Roadmap
183 followers
Navigara connects AI coding performance directly to your engineering roadmap. Analyzing code like a senior engineer to prove real capacity gains, Navigara tracks exact costs per roadmap item, isolates off-roadmap waste, and identifies maintenance burn. Cut spend further by automatically routing routine CRUD tasks to low-cost models without sacrificing quality. Connects in minutes via Git history, JIRA/Linear, and any AI coding license for spend.
Navigara
Hey, Product Hunt ✋,
I'm Jirka, co-founder of Navigara.
I spent years as a CTO trusting the velocity charts, cycle times, right up until I realized they were telling me a story I couldn't back up. Then a CFO asked whether Claude was producing real value for almost $150k a month or just producing invoices, and the honest answer was "we think so." Try saying that out loud while asking for a bigger token budget.
So we built Navigara. It reads your commit history, uses an LLM to understand the repo and explain what each change did, then scores how complex the merged work was. Not lines, not commits. Refactor 400 lines down to 40 and you score higher than shipping 400 more. Full methodology behind Engineering Throughput Value: https://500.navigara.com/methodology. ETV splits into Features, Maintenance, and Documentation. We measure against your team's own pre-AI baseline.
We pointed it at open source first and created a white paper about this. The result? Across the public commit history of Microsoft, Google, Cloudflare, OpenAI, Meta, and Vercel, ETV per engineer rose 116% between Q1 2025 and Q1 2026, measured across 676 contributors.
Then we noticed that a lot of the performance and code created inside companies was not aligned with the company roadmap. So the spend was high and a lot of PRs were generated, but the roadmap did not move that much faster. So we connected token spend to the roadmap (initiatives, epics, and tickets) to see what work is aligned with your roadmap, what just has a ticket without an initiative, and what is unaligned with your roadmap and put number in $ next to it.
Here’s the part I care about most: Lead engineering with data. My engineering team's ETV per engineer is up 4x against our own pre-AI baseline. We are realizing that process issues between epics, tickets, AI spend, and code are the source of teams slowing down as they grow in headcount. If you care about this too, check out “Process Checks.” It is like Sentry, but for engineering processes.
You can start a 14-day trial, or just poke around at navigara.com first. If you think we're measuring engineering wrong → That's the feedback I really want.
Jirka
@bachel Nice launch congrats🙌linking token spend directly to business output solves a massive headache for CFOs. qq how are you handling privacy/security when scanning proprietary repos for this?
Navigara
@priya_kushwaha1 Three deployment modes, depending on what your security posture requires.
Fully on-prem for banks and regulated enterprises. Everything runs inside your perimeter, model included. Nothing crosses the boundary.
On-prem collector for teams that want the code to stay put. Reads git history locally, ships out scores and metadata. No source, no diffs.
Hosted for teams that want results today. You connect git, Linear or Jira, and your AI spend. Code is processed and not retained, and never used for training.
We hold SOC 2 · ISO 27001 (Q3 '26).
Happy to send the architecture doc if your security team wants to take it apart.
https://docs.navigara.com/security/best-practices
@bachel makes total sense. the on-prem collector option really hits the sweet spot for balance between speed and security.
Navigara
@priya_kushwaha1 Yes, most of our big customers are using this option. We have purposely optimized our documentation for on-prem deployment, so the person deploying it can just copy-paste our documentation into Claude, and it is done.
how do you account for engineers who spend significant time mentoring, designing systems or unblocking teammates?
Navigara
@croft_benjamin Fair question. ETV reads merged code, so mentoring and unblocking don't show up as the mentor's output. They show up in the team's.
That's why we report at team level by default. If a staff engineer spends a week unblocking four people, their personal ETV drops while the team's rises. Read individually that looks like underperformance. Read at team level it looks like what it is.
ETV also splits into Features, Maintenance, Fixes, Tests and Documentation, so architecture and cleanup work that does land in the repo isn't scored as zero for not being a feature.
Mentoring is an input. Shipped roadmap is the output. A senior who spends a week unblocking four people has a bad ETV week and a team that shipped more, which is the trade you want to see. If the mentoring is happening and the roadmap still isn't moving, that's a finding, not an accounting error.
Navigara
Don’t forget to check out our public data. We are updating 500.navigara.com daily.
How Top Engineering Teams Actually Perform today?
A live index of the industry's leading engineering orgs. Every commit is weighted by the work it represents, not the lines it touched, and reported as ETV per engineer.
Instruct
Congrats on the launch, much needed product! 👏
Navigara
@mikolaj_kacki1 Thank you, Miko 🥰
Product Hunt Wrapped 2025
Congrats on the launch day!
Navigara
@alexcloudstar Thank you 🤗