Tidyread

Tidyread

Tidyread · Other

Tidyread is an AI RSS reader that turns the feeds you follow into scheduled digests. Each Recipe carries its own summary prompt, filters, and delivery time, and the free plan starts with 2M tokens.

Interface preview of Tidyread

About Tidyread

What Is Tidyread

Tidyread is a reading tool for people who subscribe to more feeds than they can clear. Instead of showing you a raw inbox of headlines, it runs your RSS feeds through a language model at a time you choose and hands back one short digest. The point is to end the daily scroll through information overload and replace it with a single page you can finish with coffee.

The product is organized around Recipes. A Recipe is a bundle of feeds with its own summary prompt, language, filters, and push schedule. You might keep one Recipe for AI research, another for local news, and a third for a niche blog you read slowly. Pausing a Recipe stops its digests without touching the others, which makes it easy to quiet a topic for a month and pick it up later.

The reading surface is a browser extension for Chrome and Edge, with a web dashboard behind it for managing Recipes, feeds, and tokens. A Raycast extension covers Mac users who prefer launching from the keyboard. The honest limits are token metering and prompt quality: a vague prompt returns a vague digest, and heavy reading burns through the free allowance faster than light use.

Getting Started

  1. Create an account at tidyread.ai and open the pricing page to claim the free 2M tokens.
  2. Install the Tidyread browser extension for Chrome or Edge. Most features live there, and the dashboard alone won't show your digests.
  3. Add feeds to a new Recipe. You can paste individual feed URLs or use OPML import to bring a whole subscription list from another reader.
  4. Write the summary prompt for that Recipe and pick a digest language, length, and delivery time.
  5. Optionally set an AI filter with keywords or a prompt, then wait for the first digest to arrive at the scheduled hour.

Product Information

A quick look at Tidyread's pricing, supported platforms, and performance.

Free PlanYes
Paid PlansToken top-ups and custom packages
PlatformWeb, Chrome and Edge extensions, Raycast (Mac)
DeveloperTidyread
CategoryOther
Release DateJul 2024
Latest UpdatedOct 2026
Website Visits2.6K
Website Global Rank7.6M
API AvailabilityN/A

Best for

The users, tasks, and scenarios where this tool fits best.

Users

  • Researchers tracking a narrow field
  • News junkies who want one morning read
  • Readers of foreign language sources
  • Small teams sharing a reading list

Tasks

  • Clearing a week of backlog
  • Cutting noise from high volume feeds
  • Following a topic across languages
  • Building a daily briefing for a report

Scenarios

  • A Monday morning reset
  • Conference season
  • Deep work weeks

Key features

Recipes That Group Feeds by Purpose

A Recipe holds a set of RSS feeds plus its own prompt, schedule, and language. That structure lets you separate work reading from hobby reading without maintaining two accounts. You can create as many as you want on the free plan and pause any of them at a moment's notice.

Custom Summary Prompts per Recipe

Each Recipe carries a prompt that tells the model what to extract. Ask for funding figures and founder names in one, and for method notes and benchmarks in another. The output changes with the instruction, which is the main reason two users can get very different digests from the same feed list.

Scheduled Digest Delivery

Digests arrive at a time you set, by push notification and email. Nothing streams at you during the day, so the reading gets a fixed slot instead of filling every gap. Changing the hour takes one edit and applies to the next cycle.

AI Filter on Titles and Bodies

Filters run before summarization. You can block keywords, exclude companies, or describe the kind of post you don't want and let the model judge. Cutting items early keeps the digest short and saves tokens for the posts that survive.

Translation Built Into the Digest

A Recipe can summarize in a language other than the source. English feeds can land as a Spanish or Japanese digest, and the original links stay in place for a closer read. For anyone who follows overseas press, this removes a separate translation step.

Full-Text Scraping and a Clean Reader

The extension pulls the full article body at up to 20 requests a minute on the free tier, then strips ads and sidebars. You get the actual argument rather than the first two paragraphs an RSS excerpt usually ships with. The reading view also carries a light and dark mode.

Browser Extension as the Reading Surface

Tidyread runs as a Chrome or Edge extension, and the extension is where digests open. A Raycast extension serves Mac users who would rather trigger the day's digest from a launcher. Setup takes a few clicks. The web dashboard alone won't display your reading queue.

Pros and cons

Pros

  • The Recipe model matches how people actually read: separate prompts for separate topics beat one global summary rule.
  • Digests arrive at a fixed hour, which turns feed reading into a short appointment instead of an all day tab check.
  • Prompt level control gives you output shaped for your job, whether that means numbers, quotes, or method notes.
  • Translation is part of the digest, so foreign language sources stop being a separate workflow.
  • The free tier is usable on its own: 2M tokens, unlimited Recipes, unlimited filters, and OPML import.

Cons

  • Token metering decides how much you can read. A large feed list with long articles can spend the monthly allowance in a few weeks.
  • Features live in the browser extension, so anyone who wants a pure web app or a phone app is out of luck for now.
  • Output quality tracks prompt quality. A one line prompt returns generic summaries, and improving them takes trial and error.
  • The paid side is a top-up model with custom packages rather than a published price list, which makes budgeting harder before you commit.

Frequently asked questions

It reads your RSS feeds with a language model and sends a scheduled digest of summaries, filtered to the items you care about. You write the instructions, so the digest reflects your priorities rather than a generic editor's.