guptadeepak

Author here. I co-founded GrackerAI, which monitors AI citations for B2B companies, so I have a bias worth disclosing upfront.

The core finding that surprised me: we looked at cross-platform citation data and the overlap between engines is tiny. - Only 11% of domains get cited by both ChatGPT and Perplexity. - Less than 1% for specific queries. - Perplexity leans heavily on Reddit (47% of top citations). - ChatGPT favors direct authoritative sources with strong recency signals. - Google AI Overviews has 76% overlap with Google's top 10.

The practical implication for anyone building a B2B product: the AI engine your team uses for research is probably not the same one your enterprise buyer uses during procurement.

Wharton-GBK 2025 data shows ChatGPT at 67% enterprise adoption and Copilot at 58%, while Perplexity sits at roughly 18%.

The conversion data is also worth noting. Across 42 B2B sites studied, ChatGPT referral traffic converted at 15.9% vs 2.8% for traditional organic Google traffic. AI compresses the research phase, so visitors arrive further down the funnel.

Are you seeing similar patterns? And for those building developer tools or B2B products, which AI engines are you actually seeing referral traffic from?

Age verification is a tough problem.

I ran into this when building a kids' education app a few years ago. We explored a bunch of options, from asking for the last four digits of their parents' SSN (which felt icky, even though it's just a partial number) to knowledge-based authentication (like security questions, but for parents).

Ultimately, we went with a COPPA-compliant verification service, but it added friction to the signup process.

It's a trade-off between security and user experience, and there's no perfect solution, unfortunately.

Interesting project. IIRC, one of the biggest challenges with the TI-99/4A was its TMS9900 processor. It was a 16-bit CPU, but had a really awkward memory architecture that made it difficult to write efficient code.

The lack of dedicated registers meant a lot of memory access, which slowed things down considerably. This is probably why it never gained the same traction as the 6502-based systems like the Apple II or Atari.

I'm curious to see how this UNIX-like OS addresses those limitations. It's a pretty neat accomplishment if it can provide a usable environment on that hardware.

GrackerAI - A Generative Engine Optimization (GEO) platform, addressing a critical gap as businesses discover they’re invisible in AI-powered search engines despite heavy investments in traditional SEO

Great list of SaaS tools that help you get ready to serve enterprise customers

A Comprehensive Technical Guide for CTOs, CISOs, and Identity Architects