Welcome to Neural Tech Daily: how we help you buy tech and AI

The short answer

Neural Tech Daily is a new tech and AI publication for Indian readers who want a clear answer, not a spec dump. Every article opens with a recommendation, names what to buy and where, and tells you honestly when our pick isn’t right for you. We read the way you shop — fifteen tabs open, INR pricing in mind, ten minutes to decide — and we write for that.

If you want the longer version of how we work, the Editorial Policy is the page to read.

The longer version

There is no shortage of Indian tech websites. We read most of them. The pattern is familiar: a launch is announced, ten publications post the same press release in slightly different words within an hour, and a “best laptop in India” listicle gets quietly republished every six weeks with the dates updated.

That isn’t writing. That’s churn. It also isn’t useful when you’re standing in a shop or refreshing a Flipkart page deciding which ₹50,000 laptop to actually buy.

We are deliberately a small publication doing something different:

Decision-first. Every article opens with a recommendation in the first 150 words. The detailed reasoning is below for readers who want it. The recommendation comes first because that’s the question you’re trying to answer.
Custom comparison tables. Where two products genuinely compete, we publish a side-by-side table with INR prices timestamped to the day. Not a screenshot from a press release.
Honest “skip this” calls. A buying guide is more useful when it tells you what not to buy. We name products that don’t deserve their place in popular roundups, and we back those calls with evidence.
India-first pricing and availability. Every recommendation links to retailers that actually serve Indian customers. Prices are in rupees, with the date noted, because prices change.

Why AI is a first-class category here

Most Indian tech publications still treat AI as a press-release beat: a model launches, a rewrite goes up, the file closes. We think that’s a missed opportunity. The questions Indian buyers actually have about AI right now are buying questions: which chatbot subscription is worth ₹2,000 a month, whether a Copilot+ PC laptop is worth the price premium, what the difference between BharatGen, Krutrim, and Sarvam means for a small business in Pune, whether GitHub Copilot or Cursor or Windsurf actually saves time for an Indian developer.

So AI tools and AI news sit on this site as a first-class category alongside laptops and phones. Same editorial standard: hands-on where possible, honest skip-this calls, India-first context, every claim sourced. We test the AI tools we recommend. We don’t recycle their own marketing.

Why we matter for buyers

If you’ve ever read a glowing five-star review of a product that turned out to be mediocre, you already know the failure mode of ad-driven publishing: enthusiasm inflates with the commission rate. We’ve structured this publication specifically to avoid it.

How:

Recommendations are based on merit, not commission. We make money from affiliate links. We disclose every one — see our Affiliate Disclosure. But a higher-commission product never beats a lower-commission product on our pages unless it actually serves the reader better. Where the best pick has no affiliate path at all, we still recommend it and link there without a tag.
Every claim is sourced. A spec, a benchmark, a price — each comes with a citation a reader can check. The Sources block at the bottom of every article lists every URL we drew from.
Original prose only. We extract facts from sources; we don’t borrow phrasing. A fact has no copyright; phrasing does. The editor on every draft spot-checks for paraphrase before anything publishes.
A real human byline. No fake personas, no AI-pretending- to-be-a-human reviews. Currently every article is bylined by me, Akhil, the founder.

How we use AI, plainly

We use AI tools for research, outlines, drafting, and editing. That’s the truth, and we’d rather say so than dress it up. AI is a tool, the way a spellchecker is a tool. The named author reviews and stands behind every published piece, and the editorial pipeline — research → outline → draft → edit → SEO pass — is built precisely so that what you read has been judged by a human at every step. AI does not get a byline. Humans do, and they mean it.

What we cover

Five pillars, in priority order:

Reviews — single-product deep dives.
Comparisons — A vs B, “best X under ₹Y” lists.
Buying guides — use-case first (“best laptop for CA students”).
News and explainers — selective news with India-pricing and India-availability angles, plus plain-English explainers (“what is NPU”, “what is RCS”).
How-tos — practical guides that recommend products as a means to an end.

Categories: laptops, smartphones, tablets, audio, wearables, smart home, accessories, AI tools and AI news, online courses, gaming gear.

What we don’t cover

Some things we deliberately won’t write about, at least not yet:

Crypto, investing, and stock-trading tools. These sit in the “Your Money or Your Life” category that needs a higher factual bar than a small publication can meet at launch.
VPN affiliate roundups. A saturated category prone to Google enforcement. Not a fight worth picking right now.
Day-of-launch press-release rewrites. If we cover a launch, we add a reporting angle — usually India pricing, India availability, or a comparison to what already exists. We don’t republish the press release.

Common misconceptions

“All affiliate sites are the same.” They aren’t. The difference is whether the recommendation is independent of the commission rate. Read our Editorial Policy for the test we apply on every recommendation, and our Affiliate Disclosure for the full treatment of how the money flows.

“Indian tech sites are mostly news.” Most are, and there is a real audience for that. We aren’t competing on news cadence. We’re competing on the moment a buyer is about to spend ₹15,000 to ₹2,00,000 and wants a clear answer.

“AI-assisted writing is automatically lower quality.” The output is only as good as the editorial process. Our originality policy and editor checklist are the difference between AI-assisted writing and AI-only slop. We are happy to be judged on the result.

What’s next

Articles start landing here weekly, with a focus on long-tail buying decisions Indian readers actually face: laptops for CA and engineering students, mid-range phones for parents, the sub-₹3,000 wireless earbuds tier, the AI-tools-for-Indian- freelancers stack, head-to-head AI chatbot comparisons, and so on. Each one is built to be useful the day it’s published and refreshed every six months so it stays useful.

If you want to be notified when we publish, the RSS feed is the best way for now. A newsletter is on the roadmap; we’re not in a rush to launch one.

Where to read more

Editorial Policy — how every article gets made.
Affiliate Disclosure — how we make money, and why it doesn’t decide what we recommend.
Privacy Policy — what data we collect (very little).
About Neural Tech Daily — the publication, in one page.

If something on the site is wrong, missing, or misleading, the fastest fix is an email to contact@neuraltechdaily.com. We read every one.