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Consumer AI20262 months

Nufeed

A personalised news feed that lets people design their own algorithm instead of inheriting one — taken from spec to a public test-flight in weeks.

Nufeed, an AI-personalised feed builder, showing its feed-design interface

Overview

Nufeed lets people track the topics they actually care about and have AI rewrite what it finds to their own instructions, instead of accepting whatever an engagement-driven feed surfaces.

The problem

The idea was clear before any of it existed as software: monitor the web for a topic, let a user set rewrite instructions in plain language, publish through an editor good enough to use daily. None of it existed yet, and the founder needed a working product in front of early testers, not a deck.

What we did

We built the three pieces as one pipeline rather than three separate features: topic monitoring, an AI rewrite step driven by the user’s own instructions, and a Notion-style editor to polish and publish. The first version stayed deliberately narrow — enough topics, enough rewrite control, enough of an editor to be genuinely usable — so it could reach a closed test-flight rather than wait for a longer feature list to finish.

Outcome

  • Working product shipped from spec to a closed test-flight in two months
  • Feed rewrites return in under two seconds per topic
  • Users set rewrite instructions in plain language, with no configuration UI required
  • Privacy-first pipeline: no user content used for model training

Have a system like this?

Tell us where it hurts. Discovery is two weeks and you keep the plan either way.