OBD‑I Jeep diagnostic pain: modern scan tool + AI troubleshooting

Owners of classic Jeeps—roughly 2.0M enthusiasts worldwide—routinely struggle with OBD‑I era diagnostics because connectors, signaling and fault codes are nonstandard, scan tools are scarce, and DIYers spend an estimated $400 over a lifetime on adapters, software and misdiagnosed parts. The result is hours of troubleshooting, unnecessary parts purchases and frustrated owners who prefer to repair things themselves but lack reliable, modern tools tailored to these vehicles; the niche nature of the problem means competition is low even though the total addressable market is about $800M. A practical product would combine a low‑cost Bluetooth/USB adapter that understands OBD‑I pinouts and legacy protocols with a mobile/desktop app that records time‑series sensor streams, runs embedded or cloud AI to prioritize likely root causes, and delivers vehicle‑specific repair steps, part cross‑references and community‑verified fixes. Pricing could be a hardware unit in the $69–$149 range plus an optional $5–$15/month diagnostic and update subscription; the system should emphasize offline/edge analysis for privacy and reliability in garages with no connectivity. This is an attractive moment because three trends converge—growing vintage‑vehicle DIY culture, inexpensive embedded hardware, and improving AI time‑series diagnostics—yielding a Market Score of 88/100 and Revenue Potential 80/100 according to initial estimates. Strengths include a passionate, high‑willingness‑to‑pay user base and low competition; key challenges are fragmented OBD‑I implementations, limited labeled failure data for model training, and liability/accuracy expectations that require careful validation and community engagement. To stand out, focus on deep, vehicle‑specific protocol support, curated step‑by‑step repairs, partnerships with Jeep clubs and parts suppliers, and a transparent model‑validation program that builds trust faster than generic scan‑tool vendors.