Inc42 · 31 May 2026
EaseMyTrip posted a ₹15 Cr net loss in Q4 FY26 despite an 8.9% YoY revenue rise to ₹151.9 Cr, closing the full year at a ₹47.5 Cr loss — a sharp reversal from ₹108 Cr profit in FY25.
Daily Intelligence
Inc42 · 31 May 2026
EaseMyTrip posted a ₹15 Cr net loss in Q4 FY26 despite an 8.9% YoY revenue rise to ₹151.9 Cr, closing the full year at a ₹47.5 Cr loss — a sharp reversal from ₹108 Cr profit in FY25.
IndiGo reported a ₹2,536 Cr net loss in Q4 FY26, driven by elevated MRO costs, engine groundings on P&W-powered aircraft, and route disruptions — its largest quarterly loss in recent history.
IndiGo has outlined a five-point operational recovery strategy in response to its Q4 losses, reportedly covering fleet redeployment, cost renegotiation with lessors, network rationalisation, ancillary revenue acceleration, and hedging on fuel and forex exposure.
What deep thinkers know about shaping what gets built strategically, before AI executes it. Continue reading on Bootcamp »
The newsletter argues that with Claude Opus 4.8 and Figma Make now capable of agentic design and code generation, the traditional design-to-dev handoff is structurally obsolete — the job is now managing the seam between intent and AI execution, not producing the artifacts themselves.
Why it matters
If Figma Make can generate production-ready UI from design intent, a travel product team's current workflow assumptions — spec writing, redlines, component handoff — need to be revalidated against what the toolchain now makes automatable.
Benedict Evans frames the current AI moment as analogous to 1997 internet adoption — genuinely transformative but with most product and business model implications still unclear, and with significant risk of over-indexing on capability demos rather than durable use cases.
Why it matters
For a product team making AI investment decisions, Evans's framing is a useful corrective: the priority should be identifying which user problems AI solves durably, not which AI features can be shipped fastest as signals of modernity.
A Notion designer describes a production workflow where design is done directly in code, with AI tools like Cursor handling final UI polish — eliminating the handoff step entirely by making the designer the frontend implementer.
This workflow pattern — designer-as-implementer via AI-assisted code — is becoming replicable enough that product teams can expect designers to own frontend quality end-to-end, which changes hiring profiles and sprint structures.
Also in Design & Product
John Cutler explores the psychology of helpfulness in product teams — why people over-help, how it leads to reactive roadmaps, and how to maintain contribution without losing strategic focus.