Aug 2025 – presentAI
Aarchid
Photograph a sick plant, get a diagnosis you can act on.
Live92%Diagnosis Accuracy (200-sample eval)
Dhruv Singhal · Product Manager & Builder
Currently: Product Manager Intern, Growth · The Sleep Company
E-commerce and AI products — stakeholder input, user research, and product specs turned into decisions teams can build.
Helps solo founders find the co-founder they'd actually build with. Swipe-based matching shaped around real founder-discovery pain points, and iterated with the community it grew in.
Helps long-distance couples stay in sync when they can't read the room in person. Cycle phase, mood, and stress drive daily guidance for her, him, and us. Privacy is enforced at the database rather than the UI: 575 live RLS checks, offline-first, $0/month infra.
Told the retention team which customers were about to leave, early enough to do something about it. A predictive model that surfaced at-risk users and cut monthly churn by ~15%.
Treated my own portfolio as a product: spec and success metrics before any code, then iterations driven by real feedback. Ships at 95+ Lighthouse, with the whole decision trail written up as its own case study.
A prompt is an artefact. An eval harness is a product. Here's how I scope LLM features so the output doesn't surprise users — or me.
I have been the PM who could not see why a “simple” feature took three sprints, and the PM who accidentally rewrote an engineer’s PR. Where the useful middle sits.
“Dhruv brought structure to messy aviation workflows quickly. He turned SME inputs into clear product specs, surfaced edge cases before handoff, and consistently made cross-functional conversations easier for engineering and QA.”
I wrote a PRD that passed review with no blocking comments, and then nobody could tell me whether the feature worked. Prose cannot spec a probabilistic system.
I ranked my next side project on five criteria. The AI-heavy ideas scored highest on excitement and lowest on everything that predicts a finished tool.
A design review ended with it looks off and nothing anyone could pick up. How I turned that into 45 ranked, located, owned rows.
Two products can share a DAU line and have opposite futures. A retention curve cut by acquisition cohort tells you which one is actually compounding.