A while back I went looking through baby name sites and kept noticing the same thing: rich, deep data for English and European names, and a thin afterthought for everything else. Names from my part of the world — Urdu, Punjabi, Arabic, Hindi — were missing, misspelled, or stripped of their native script and real meaning.
So I built NameNesting (namenesting.com).
It's 22,700+ baby names across 36 languages, shown in their native scripts (Urdu, Arabic, Hindi in Devanagari, Punjabi in Gurmukhi, Hebrew, and more), each with an AI-generated meaning and a short personality insight. The idea is simple: whether you want a name that honors your heritage, works across two languages, or just feels right when you say it out loud, you shouldn't have to settle for a site that only really "gets" Western names.
The honest backstory: I'm a network admin in Pakistan, not a developer. I built this over months with AI as my pair programmer, learning as I went. No funding, no team, no ads — it's grown 100% organically through search so far, which has been a quiet thrill to watch.
The core — search, meanings, filters — is free. I'm not here to pitch you a subscription.
What I'd genuinely love from this community:
• Try a name you care about (ideally a non-Western one) and tell me if the meaning and the script look right to you. Accuracy across cultures is the thing I worry about most.
• Tell me what's confusing, or what's missing.
Brutal feedback is worth more to me than a pat on the back. Thanks for reading.
treating those names as first-class instead of a bolt-on is a genuine wedge, nameberry and behind the name really don't. the accuracy risk you hit with the sikh names is the thing that decides whether parents trust it, one wrong meaning and they're gone for good. are you pulling meanings from real cultural and linguistic sources or generating them? for this niche that distinction is the whole product tbh
Sorry for the slow reply — been heads down building. Real answer: it's hybrid, not pure generation. Wikidata and Wikipedia first for documented meanings, AI only fills genuine gaps — and it's under a hard rule to say "Unknown" rather than guess.
You're actually pointing at something that already bit me — a batch of common Sikh names (Harpreet, Satnam) came back "Unknown" from my first AI pass because the model was hedging on names it should've known. Fixed it with a culture-aware prompt and got real meanings back (Satnam → "True Name of God"). But that exposed the real lesson: AI gets me most of the way, the last stretch on religiously/culturally significant names needs actual native-speaker review, not just better prompting. That's a real to-do for me now, not a someday.
If you're curious what it looks like fixed, Satnam or Harpreet on the site now — happy to hear if it still misses anything.
Appreciate you pushing on this rather than taking the pitch at face value — it's exactly the right question for this niche.
the cultural authenticity angle is strong but it's a minefield too, a friend shipped a regional names thing and got roasted over one wrong transliteration, those communities are protective and catch everything. i'd lean into it and crowdsource verification from the diaspora itself, turns your biggest risk into both a moat and your first users. generating meanings with an llm is how you torch trust on day one imo
Late reply, sorry — same story I just told Lainey above if you want the full context: hybrid approach (documented sources first, AI fills gaps honestly), and I already got burned once on Sikh names hedging to "Unknown" when real meanings exist. Fixed now — Satnam on the site shows what it looks like corrected, if you want to poke at it.
Your crowdsource-from-the-diaspora angle is a genuinely different idea though, and a good one — I'd been thinking "hire native speakers to verify," but framing it as "let the diaspora verify and become your first users" turns the same fix into a distribution channel too. Filing that seriously, thank you.
The wedge is real and your context as Pakistani founder is what makes it defensible. Most baby name sites (Nameberry, BabyCenter, Behind the Name) skew Western. Diaspora families seeking culturally authentic names with native scripts are underserved.
Native scripts as differentiation is sharp. Showing "عائشة" not just "Aisha" matters.
Three things to pressure-test:
AI-generated meanings carry real accuracy risk for religious/cultural names. Arabic, Sanskrit-origin Hindi, Punjabi Sikh, Hebrew names all have specific etymological/religious significance AI often gets wrong. One viral tweet misrepresenting a religious name destroys trust. Worth native-speaker review for top 500 names per language.
"AI personality vibes" feature has reputational risk for names with religious weight. Disclaimer helps but doesn't fully protect. Worth disabling vibes for religiously significant names.
Pro upsell of AI vibes is selling the feature with cultural risk. The wedge that monetizes is probably affiliate (baby products linked to names) more than Pro AI features.
Distribution: diaspora Reddit (r/Urdu, r/Pakistani, r/IndianParenting, r/Sikh, r/Jewish), diaspora Facebook groups, mosque/temple/synagogue partnerships. Long-tail SEO opportunity huge — "Modern Urdu names meaning peace," "Punjabi Sikh girl names with meanings" type queries.
This is one of the most useful comments I've gotten — thank you for the depth.
On the accuracy risk: you're completely right, and it's already bitten me. A batch of common Sikh names (Harpreet, Satnam) came back as "Unknown" from my first enrichment pass — the model was hedging on names whose meanings absolutely exist. I just reworked the approach with a culture-aware prompt and got proper meanings back (Satnam → "True Name of God," etc.). But your "native-speaker review for top names per language" point is the real lesson — AI gets me 90% there, but the last 10% on religiously significant names needs human eyes. I'm going to treat that as a real to-do, not optional.
The vibes-for-religious-names caution is sharp and I hadn't fully weighed it. A playful "personality vibe" on a name with deep religious weight could land badly. Going to think hard about scoping that feature away from religiously significant names rather than relying on a disclaimer.
And the affiliate-over-Pro insight is something I need to sit with — you may be right that the monetization wedge isn't where I assumed. The diaspora distribution + long-tail SEO angle ("Punjabi Sikh girl names with meanings") is exactly the direction I'm betting on.
Genuinely grateful — this gave me more to act on than anything else this week.
The Harpreet/Satnam example is exactly the pattern. AI defaults to hedging on religiously significant names because training data weighted toward Western names treats them as edge cases. Your culture-aware prompt fix is sharp.
The 90/10 split is deeper than you might realize. AI handles long-tail, native-speaker review handles religious/cultural anchors. Hybrid model is structurally different from pure-AI competitors — hard to replicate because native-speaker recruitment doesn't scale by throwing money at LLMs.
Worth making verification visible as product feature: "Native Speaker Verified" badge on name pages, filter for verified names, basis for community contribution. Creates network effect AI sites can't match.
Recruitment channels: diaspora university student associations (Sikh Student Associations, MSAs, Hillel), cultural foundations (Sikh Coalition, Hindu American Foundation), mosque/temple/synagogue family programs. $5-10 per name or Pro/lifetime access.
On affiliate: Etsy affiliate (high diaspora fit), diaspora-specific brands, religious gift retailers (Judaica shops, mosque bookstores), naming ceremony products (Aqiqah supplies), cultural baby books per language. Revenue per visitor potentially much higher than general baby name traffic.
(Analysis above and previous came through HiveMind — hivemind.myosin.xyz, code HivemindIH123. AI strategy copilot, closed beta, code gets you access.)