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ForgePilot
AI workspace for FMEA, tolerance analysis & engineering Q&A
Most engineering teams run FMEA in a spreadsheet that's two revisions behind by the time the product ships. Tolerance stack-up gets done in Excel the week before manufacturing. Engineering Q&A lives in email threads. ForgePilot fixes all three — FMEA generation from design inputs, instant worst-case and RSS tolerance analysis, and engineering Q&A built on domain knowledge. Not a generic AI. Purpose-built for engineers by an engineer who lived this problem across 5 product lines. Free.
I'm Avaneesh — a mechanical engineering student and the founder of ForgePilot.
Last year I interned at an engineering firm working across 5 completely different product lines simultaneously. Every single one had the same problem:
The FMEA existed. It was just two design revisions behind the actual product.
Tolerance stack-up was done manually in Excel the week before manufacturing.
Engineering Q&A lived in email threads and people's heads.
Nobody had time to fix it. The tools available were either generic AI not grounded in engineering, or expensive enterprise software that took months to implement.
So I built ForgePilot — an AI workspace purpose-built for engineers in design and manufacturing.
→ FMEA generation from your design inputs (not a template — an actual structured analysis)
→ Tolerance stack-up with worst-case and RSS results in seconds
→ Engineering Q&A grounded in domain knowledge
50+ engineers signed up in 45 days with zero paid marketing. Just engineers who had the same problem I did.
Completely free. Try it at forgepilot.dev — happy to answer anything.
About ForgePilot on Product Hunt
“AI workspace for FMEA, tolerance analysis & engineering Q&A”
ForgePilot was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #23 on the daily leaderboard. Most engineering teams run FMEA in a spreadsheet that's two revisions behind by the time the product ships. Tolerance stack-up gets done in Excel the week before manufacturing. Engineering Q&A lives in email threads. ForgePilot fixes all three — FMEA generation from design inputs, instant worst-case and RSS tolerance analysis, and engineering Q&A built on domain knowledge. Not a generic AI. Purpose-built for engineers by an engineer who lived this problem across 5 product lines. Free.
On the analytics side, ForgePilot competes within Productivity, Software Engineering and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how ForgePilot performed against the three products that launched closest to it on the same day.
Who hunted ForgePilot?
ForgePilot was hunted by ForgePilot. 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 ForgePilot including community comment highlights and product details, visit the product overview.
ForgePilot