Open to internships · frontend, backend, full‑stack

Diwakar Mishra

I build complete products, from the data to the interface.

See my workResume

Shipped: Starweave, a music influence map and Arthouse Atlas, a film recommender.

Hi. I'm Diwakar. I'll show you around.

RadioheadNirvanaDavid Bowie

Project 1, 2026

Starweave

A map of who influenced whom in indie music. Every link has a source.

312 artists · 1,024 links, every one with a source · Next.js 16, React 19, TypeScript, Canvas, Web Audio

Designed, built and shipped by me.

Open Starweave ↗Read the code ↗

Starweave in use: the map of artists, a search for Radiohead, and the map pulling in who shaped Radiohead and who they shaped.
Recorded from the live site, 2 Nov 2026.

Music apps show bands that sound alike. I wanted the ones that influenced them.

So I built Starweave.

Try it here

Starweave’s real data and code, running in this page. Every link opens its source.

Tap R.E.M. to see the proof.

Shaped by

  • +7 more

Radiohead

Making music since 1985

Went on to shape

  • +4 more
Explore Radiohead on Starweave ↗

Photos: Radiohead by Raph_PH (CC BY 4.0)

How it works

Side B

Diwakar Mishra presents

Arthouse Atlas

A film recommender for people new to arthouse cinema.

Project 2, 2026

Arthouse Atlas

A film recommender for people new to arthouse cinema. Tell it a film you loved; it picks your next.

1,120 films, ranked by 20 critics’ lists · React 19, Vite, Node and Express, MongoDB, D3

Designed, built and shipped by me.

Open Arthouse Atlas ↗Read the code ↗

Recorded from the live site, 2 Nov 2026.

For 2 in 3 people, its 10 picks included a film they went on to love.Tested on 11,090 people it never saw (66.7%, against 25.4% for the site’s first engine).

Too many films, and no idea where to start.

So I built Arthouse Atlas.

Try it here

The live site’s own recommender, running in this page on its real data.

Tap a film you love. Your next film shows below.

Your next film

Tap a film above

Your next film plays here.

Every seat is a real person who loved your film.

How it works

What’s inside, and how well it works

Films
1,120 art films, 1915 to 2025
Directors · Movements
238 · 27
The canon
Ranked by 20 lists from critics, filmmakers and festivals: 4,187 mentions in all
Recommender
Learns which films the same people loveEASE (Steck, 2019) · λ = 100 · 50 neighbours a film
Trained on
MovieLens: 32,000,204 ratings by 200,948 people
Tested on
11,090 people it never saw. The test was written down before it ran, so it couldn’t be tuned to pass.

How well it works · tested on 11,090 people

2 in 366.7%

found a film they went on to love in its 10 picksthe site’s first engine 25.4% · just the most popular films 51.1%

1 in 334.8%

found the exact next film they lovedrandom picks 0.9% · first engine 7.4% · just the most popular films 20.9%

62.4%

of the films people went on to love were in its top 20 picksjust the most popular films 43.4% · “Recall@20”, the standard research measure

Diwakar Mishra

That's the real me, minus the pixels.

I build the logic behind the screen, not just the screen.

B.Tech CSE (AI) at MAIT, Delhi. Class of 2028. In both projects the hard part is a ranking. Starweave weighs how strong each piece of proof is. Arthouse Atlas learned from 32 million ratings what to show you next.

Works in

  • C++
  • TypeScript
  • JavaScript
  • SQL
  • React
  • Next.js
  • Node.js
  • Express
  • MongoDB
  • PostgreSQL
  • Tailwind CSS
  • Canvas
  • D3
  • Git