About TechAffiliate

TechAffiliate is a solo-run site that reviews AI models and tech tools with documented methodology. Articles disclose their testing methods, affiliate links are labeled, and key claims link to sources.

Transparent

Affiliate links are labeled. Revenue sources are disclosed in a public policy. We do not accept unlabeled sponsorships.

Source-Linked

Claims link to official docs, changelogs, or published benchmarks. If a conclusion comes from my own testing, the article says so explicitly.

Timestamped

This page was last updated October 2026. Articles show publish and update dates.

A

Aditya Kachhawa

Coder, Founder & Editor

I build software and write about technology tools, with a focus on helping readers understand what these tools can do, how they compare, and where they may be useful.

How I Test

01

Consistent Criteria

Comparisons between tools use consistent criteria where the evidence supports this. This helps ensure fair and transparent evaluations.

02

Verifiable Evidence

I distinguish hands-on observations from vendor claims, estimates, and unverified information.

03

Source Attribution

Articles state whether a conclusion is based on my own testing, official documentation, published third-party benchmarks, or a combination. If I haven't tested something directly, the article aims to cite the source rather than relying on unverified experience.

Editorial & Money

How I Pick Topics

I cover tools I am actively evaluating or using. Topic selection is based on reader interest and new launches, and is independent of affiliate partnerships.

How I Make Money

Revenue may come from affiliate commissions when readers purchase through labeled links. Affiliate relationships do not guarantee positive recommendations.

43
Articles Published
15
Categories Covered
Since 2025
Publishing

Get in Touch

Questions about a review? Want to suggest a tool for testing? Found an error in an article? I read every message.