Chanchal Mukeshsingh

Chanchal Mukeshsingh

WITWIT
Student @ UCSC, Researcher, Co-founder

Badges

Tastemaker
Tastemaker
Gone streaking 10
Gone streaking 10
Gone streaking
Gone streaking
Gone streaking 5
Gone streaking 5

Maker History

  • WIT
    WITSpot potential misunderstandings across global Englishes
    Aug 2026
  • 🎉
    Joined Product HuntAugust 24th, 2026

Forums

In work message what feels more urgent - being understood or understanding the other side?

In professional communication which feels more pressing for you - to be understood or to understand the other?

We initially built WIT more around the first situation - when we are anxious about sending an important message across the world, and WIT helps finding possible mismatches in meaning across American, Indian and Singapore English.

Feedback: Does our core value prop make sense in under 5 seconds?

Hey everyone! We're putting the final touches on Will It Travel before launching on Product Hunt soon, and we'd love some fresh eyes on our positioning.

The Problem: English isn't a monolith. Phrasing, idioms, and colloquialisms that make complete sense in one region (like the US) often cause friction or confusion in others (like India, Singapore, or the UK).

What we built: A tool to analyze cross-dialectal English comprehension so builders and writers know if their copy translates clearly across global audiences.

First maker comment — adapt the personal story before publishing

We built HtmlDrag for the moment after AI has produced a page that is nearly right but not quite. A founder, marketer, or designer can see that a headline, image, CTA, table, or link needs work, yet a full re-prompt can rewrite sections that were already useful.

With Paste Code, you start with the HTML you already have and work from the rendered page. You can refine supported visible text and layout, replace images, add links, insert and edit tables, lock completed elements, remove distractions, preview the whole page, and export Edited HTML for the next stage.

We would especially value feedback on:

- Which last-mile visual changes make you return to code or AI today?

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