Vibe Coded Fun Apps

A home buyer choosing a flat from a builder's brochure gets a 2D drawing in feet and inches. They can't tell how the home will look, how the light will fall, or whether their furniture will fit.

The questions that decide a purchase (will the living room get evening sun, which type and facing, will our bed fit) are the ones a flat drawing answers worst. Developers want buyers to decide faster, and furniture brands want intent at the moment it forms.

Families buying an under-construction 2 or 3 BHK from a brochure, often as a joint decision and sometimes remotely (NRIs).

Turns the floor-plan pages of a brochure into an interactive 3D home. Each plan is traced from the brochure into walls, doors, windows and furniture, then rendered in the browser with three.js. The sun follows its real position over Hyderabad for any date and time, with an invisible roof so interiors are only lit through windows and doors, and the app estimates the hours of direct sun each room gets. Furnishing the home is in progress.

• All 13 plan types from the IRA Aspiration brochure (Kollur, Hyderabad), 2 and 3 BHK, 1,295 to 2,195 sft
• Orbit, iso, top, cutaway and walk-through views; per-room direct-sun hours for any date
• Furnishing tool (drag furniture, check fit, estimate flooring cost) in progress
• Runs entirely in the browser with no backend

Investment analysts need SEC filing data fast. Reading a 10-K or 8-K by hand and rebuilding the numbers in Excel takes too long when a market-moving filing just dropped.

Junior equity researchers lose hours to grunt work — listening to investor calls and manually copying numbers out of press releases and filings into a spreadsheet — instead of doing actual analysis.

Junior equity researchers and analysts who need structured, Excel-ready filing data instead of re-transcribing it by hand.

Built a live market intelligence dashboard that tracks 10-K, 10-Q, and 8-K filings from major companies as they're filed. Each filing can be viewed instantly or extracted into structured, Excel-ready financials with one click. The backend runs on Supabase edge functions that fetch and parse filings, with a Postgres cache layer and a dedicated storage bucket for the source documents.

• Tracks live 10-K, 10-Q, and 8-K filings from companies like Netflix, Oracle, Salesforce, Nvidia, and Apple
• One-click extraction into structured, Excel-ready data
• Supabase-backed caching layer with service-role-only write access

Wanted a quick, casual word game for Telugu speakers — something in the language itself, not just another English crossword.

Very few consumer products in India are actually built for the ~200 million homemakers who make up a huge, largely underserved audience — most consumer tech treats them as an afterthought rather than a primary user.

Homemakers across India, especially Telugu speakers, looking for a quick, casual moment of fun in their own language rather than another English-first app.

Built a mini Telugu crossword game in React: small 4-word grids, 12 clues, answers accepted in English, Tinglish, or Telugu script so there's no mental friction switching keyboards. Puzzle data is served from a Supabase Edge Function.

• Answers accepted in 3 input styles: English, Tinglish, Telugu
• Deployed on Vercel, backend on Supabase
• 30+ puzzles, 12 clues each

Clothing sizes are a mess. A Medium in Zara fits nothing like a Medium in H&M. Every online purchase is a gamble, and returns are a pain.

A pattern I kept noticing over years with friends and family: someone finds their true fit in exactly one brand, then can never find that same fit anywhere else. The same idea extends past clothing to shoes — some feet are wide, some are narrow, and most brands quietly optimize for one. Nike's lasts generally suit narrower feet; brands like Gully Labs fit wider feet better — but nothing tells you that upfront.

Anyone who's found 'their size' in exactly one brand and dreads every new brand as a guessing game — extended from clothing to footwear, where foot width, not just length, quietly decides fit.

Built a tool that uses IoU-based measurement matching to translate your known size in one brand to equivalent sizes across 18 brands — international and Indian D2C labels included.

• 18 brands covered across 6 garment categories
• International + Indian D2C brands
• Open source — anyone can contribute