Consumer AI software and education
Oleve
Oleve builds consumer software, including the education products Quizard and Unstuck AI, from New York City. Its student tools apply AI to learning: Unstuck lets students upload course materials, record lectures, get notes and transcripts, create flashcards, and test themselves with custom quizzes. Course organization and file chat bring those materials into a single study app.
Quizard launched from a college dorm room in 2023. Its co-founders are Michael Giardino, CEO; Sidhant Bendre, CTO; and Achraf Golli, CPO. Oleve’s engineering approach emphasizes infrastructure shared across products, including tools for experimentation. The team tests onboarding, paywalls, pricing, and retention, and publishes playbooks describing its approaches to scaling AI experiences, validating product ideas, and developing viral distribution.
The business rebranded to Oleve in 2025; in his retrospective for that year, Bendre reported more than 8 million downloads across the portfolio. Its consumer business uses a freemium model with subscriptions: a 2025 founder interview described weekly and annual plans.
2 talks
Newest first
1 speaker at AIE
Affiliations reflect their AIE appearances, not necessarily current employment.
Start here
- The New Lean Startup
Start here to learn how Bendre connects early product distribution with team responsibilities and AI-augmented operations.
Sid BendreAI Engineer World's Fair 2025
- Building AI Products That Actually Work
Use this joint discussion to understand how explicit and implicit user-feedback signals, highlighted by Hylak, inform AI product iteration.
Ben Hylak · Sid BendreAI Engineer World's Fair 2025
Messages from the stage
Generalists with product accountability
Bendre describes generalist hiring, KPI ownership, and product-engineer accountability as parts of running a profitable consumer-software portfolio.
Operational controls without deployments
Bendre explains using LaunchDarkly to route LLM traffic around provider rate limits, recover from third-party failures, and run interface or paywall experiments without deployments.
Consumer-product context for reliability
In the joint session, Bendre introduces Oleve’s consumer-product perspective and points attendees to its Trellis framework. Hylak supplies the production-failure examples and questions about evaluations and language-model judges.
Affiliations reflect each recorded session, not necessarily current employment. Building AI Products That Actually Work is a joint discussion with Ben Hylak of Raindrop.