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Product Proposals

Seven product-feature proposals for fast-growing Indian consumer companies. Each one is a single-page web artefact (HTML + Tailwind, no framework) deployed on Vercel. Each one targets a real product gap I'd identified at a specific company, was sent to that company's product / leadership team as a cold-email wedge, and lives at its own URL.

I built these as a third-year Chemical Engineering undergrad at IIT Bombay (CMInDS minor, ML and Data Science) to break into Product Management internships at consumer tech companies. The pitch is honest: I do not have a PM internship on my resume yet, but I can ship a coherent product proposal in a weekend.

This repo is the source for all seven. The READMEs and the live URLs are the artefact.

The seven

# Proposal Target Live One-line thesis
1 Blinkit Occasions Blinkit (Eternal Ltd.) https://blinkit-olive.vercel.app Occasion bundles to turn Rs 707 grocery AOV into Rs 1,500-2,500 occasion orders using existing inventory.
2 Flipkart Minutes Campus Flipkart Minutes https://minutes-campus.vercel.app Campus-native dark stores piloted at IIT Bombay. Flipkart's electronics catalog is the moat Blinkit and Zepto cannot match.
3 Spinny Track Spinny https://spinny-track.vercel.app A post-purchase 90-day SLA layer with Spinny Capital as the EMI-credit compensation rail. Owns the broken first 90 days after delivery.
4 ZILO Looks ZILO Fashion https://zilo-pink.vercel.app Outfit bundles for the 30-min try-at-home model. Launch segment: men, decision-averse, underpenetrated.
5 Sahi Plays Sahi (F&O retail) https://sahi-plays.vercel.app Pre-built multi-leg options strategies with one-tap execution and built-in payoff math. 93% retail F&O loses money. The product gap is education in the execution flow, not before it.
6 Pronto Promise Pronto (US quick commerce) https://pronto-promise.vercel.app SLA enforcement via visible countdown plus auto-refund when 10 minutes is missed. Turns the marketing claim into a contractual guarantee.
7 Scapia Splits Scapia (Federal Bank credit card) https://scapia-splits.vercel.app Bill splitting inside Scapia. Scapia already knows your card spend, your contacts, your payment behavior. Kill Splitwise.

What outcomes have looked like so far

Proposal Outcome
Blinkit Occasions Reached the inbound team. Round 1 interview with the Blinkit Product team in April 2026. Polite rejection a week later. Honest about this. The proposal got me to Round 1 from a cold email as an undergrad with no prior PM experience.
Flipkart Minutes Campus, Spinny Track, ZILO Looks Initial sends plus 3 reminder cycles each. Silent so far. Scheduled outreach continues.
Sahi Plays, Pronto Promise Recently added to the active outreach script. Initial sends fired the week of May 5.
Scapia Splits Drafted, deployed, not yet in active outreach cycle.

How each proposal is structured

Every page follows the same skeleton, roughly 400-700 lines of HTML, served as one static file.

  1. Hero: bold headline, the feature name, a one-line thesis, by-line
  2. The Gap: what is broken today, a sourced four-stat strip, and a first-person walkthrough
  3. Proposal: the feature, what it does, a visual mockup or quote
  4. How it works: three steps, no engineering complexity
  5. Why now / Why this company: three shifts or moats that make this uniquely right for this company at this moment
  6. Metrics: four numbers with targets plus one north star
  7. Roadmap: three phases with weeks and scope
  8. Risks: a table with severity pills and mitigations
  9. Closing: why me, why this company

The skeleton is repeatable on purpose. Each new proposal becomes faster to build because the structural decisions are settled, and the cognitive room goes into the thesis and the data.

How I extract a company's brand for each page

I want the page to feel like it belongs on the company's site without being a copy. The process for each new target is:

  1. WebFetch the company homepage with a focused prompt that pulls font links, primary colors with hex codes, the hero copy, navigation copy, CTA tone.
  2. Identify the design system family (Webflow, proprietary, known framework).
  3. Match the font from Google Fonts or Fontshare CDN. The picks fall into rough buckets:
    • Webflow consumer: usually Inter or a close cousin
    • Indian D2C: Satoshi, Plus Jakarta Sans, Manrope
    • Fintech: Inter, Sora, Plus Jakarta Sans
    • Premium: Nohemi, Tiempos, Instrument Serif
  4. Test against the live site by opening both side by side. The page is acceptable when a designer at the company would not flinch.

The Blinkit page uses Gilroy on yellow and green. The Flipkart Minutes page uses Inter on Flipkart blue (#2874F0) and Flipkart yellow (#FFE11B). The Spinny page uses Plus Jakarta Sans with Sora display, the Spinny red (#ED264F), and the deep purple they use in their app (#6300A3). And so on.

Running locally

These are static single-file pages. Open the index.html in any modern browser.

cd blinkit-occasions
python -m http.server 8000
# then visit http://localhost:8000

Or just double-click the index.html.

Stack

  • Plain HTML, Tailwind CSS via CDN, no framework, no build step
  • Google Fonts / Fontshare for typography
  • Vercel for hosting, alias each project to a clean subdomain on *.vercel.app
  • Cloudflare turnstile or similar where relevant for form actions (not used in these pages, they are read-only)

Why this approach beats a generic PM resume

A resume tells a hiring manager what you have done. A live, branded, deployable proposal at a URL the hiring manager can click tells them what you would do on day one. The proposal is also the screening filter. People who care about product respond. People who do not, do not. Both signals are useful.

About me

Gaurav Mankele. Third-year Chemical Engineering at IIT Bombay, CMInDS minor (ML and Data Science). CPI 8.93. Building toward Product Management roles at consumer tech companies.

If a proposal here makes sense for your company and I am not already on your hiring radar, write back. The pages are wedges, not the work.

About

Seven product-feature proposals for Indian consumer tech companies. Each deployed on Vercel and used as a wedge for cold outreach. Source HTML + brand-matched designs.

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