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.
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
About Navigara on Product Hunt
“Connect Your AI Spend Directly to Your Roadmap”
Navigara launched on Product Hunt on August 24th, 2026 and earned 226 upvotes and 22 comments, earning #3 Product of the Day. 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.
On the analytics side, Navigara competes within Analytics, Developer Tools and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Navigara performed against the three products that launched closest to it on the same day.
Who hunted Navigara?
Navigara was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Navigara including community comment highlights and product details, visit the product overview.
Ben Lang
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