Orbit by Mozilla is a Firefox add-on that uses AI to summarize web content like emails, articles, and videos, and answer questions without compromising privacy.
Tidyread
Streamline your daily reading with AI-powered RSS summaries and custom filters that deliver a clean, translated info digest exactly when you want it.
$9.99/one-time

About Tidyread
Tidyread is an AI-driven information curation tool designed to solve the problem of information overload for RSS enthusiasts and researchers. It functions as a virtual secretary that monitors your subscribed feeds, processes the latest articles using large language models, and compiles them into a "tidy" digest. By shifting from fragmented, constant scrolling to a structured reading habit, it allows users to reclaim their focus while staying informed on a wide range of topics. The core of the platform revolves around the concept of "Recipes," which are customizable workflows for specific interest groups. Users can group various RSS sources, apply unique AI prompts for summarization or translation, and set specific delivery times to receive their information in a non-disruptive manner. Beyond simple aggregation, the tool features an AI-empowered filter that evaluates titles and content against user-defined keywords or AI instructions, effectively stripping away irrelevant noise. A browser extension facilitates the automation of these tasks, gathering daily updates and notifying the user once the processing is complete. This makes the reading experience highly efficient, as the interface is optimized for clarity and distraction-free consumption. Users can also leverage the platform's ability to scrape full-text content, ensuring that the AI has the complete context needed to generate accurate and insightful summaries rather than just relying on short snippets. This tool is particularly valuable for roles that require high-volume information monitoring, such as financial analysts tracking market trends, tech professionals keeping up with industry updates, or researchers managing numerous academic sources. It caters to anyone who uses RSS but feels overwhelmed by the volume of content, offering a meditation-style reading interface that prioritizes quality over quantity. What distinguishes Tidyread from traditional RSS readers is its emphasis on AI-driven customization and local-first privacy. Unlike static readers, it treats summary prompts as a first-class citizen, allowing users to define exactly how they want information extracted. Furthermore, the tool prioritizes data security by storing business data locally in the browser’s indexedDB, giving users full control over their information without being locked into a proprietary cloud database.
Tidyread pros & cons
Pros
- Allows highly specific AI prompts for custom-tailored summaries of each feed source.
- Protects privacy by storing core business data locally in the browser's indexedDB.
- Supports unlimited RSS subscriptions and digest creation even on the free tier.
- Integrates an AI filter to automatically remove uninterested content based on keywords or prompts.
- Includes a browser extension for automated daily feed gathering and processing notifications.
Cons
- AI processing is limited by a token system which may require frequent paid recharges for heavy users.
- Advanced features like AI translation and email pushes are locked behind paid packages.
- Currently lacks a dedicated mobile or desktop application according to user feedback.
- Does not yet support using your own LLM API keys according to user requests.
Tidyread use cases
- Financial researchers can aggregate global market news and use AI prompts to extract key trends into a single daily briefing.
- Tech professionals can monitor niche industry blogs and filter out repetitive product announcements using AI-empowered keyword filters.
- Academic students can summarize long research papers from RSS feeds into bullet points, saving hours of manual reading.
- Crypto researchers can subscribe to multiple niche news sources and get a unified, summarized digest at specific times of the day.
- Busy professionals can use the browser extension to automatically prepare a news digest while they focus on other tasks.
Tidyread features
- ai-powered summarization
- translation support
- customizable ai prompts
- browser extension integration
- ai-empowered content filtering
- full-text scraping
- rss feed aggregation
- scheduled info digests
Tidyread pricing
Is Tidyread free? Yes, Tidyread has a free plan, and paid plans start at $9.99 / one-time.
Free
Free
- 2M Tokens
- Unlimited RSS Subscriptions
- Unlimited Recipe Creation
- Unlimited Digest Creation
- Unlimited Filter
- Efficient Reading Mode
- Full Text Scraping (20 times/min)
- Pause at any level
- OPML Import
Silver Package
$9.99 / one-time
- 15M Tokens
- AI Summary & Translation
- AI Filtering
- Customizable Summary Prompts
- Digest Email Push
- Higher Rate Limit Full Text Scraping
- Granular Usage Control
Tidyread FAQs
How does Tidyread handle my personal data?
Most data is stored locally in your browser’s indexedDB, allowing for easy export and import at any time. Your account credentials and subscription info are secured on Supabase, and cloud sync is currently a planned optional feature.
Can I use Tidyread for free?
Yes, there is a free starter package that includes 2 million tokens and allows for unlimited RSS subscriptions, recipe creation, and digests. This plan also supports OPML imports and basic full-text scraping.
What is a "Recipe" in Tidyread?
A Recipe is a customizable bucket for your RSS feeds where you can define specific AI summary prompts and scheduling. This allows you to group different types of news and apply different logic to each.
Can the tool translate articles?
Yes, Tidyread leverages AI prompts to translate content into your preferred language while summarizing it. This feature is part of the paid packages and helps users consume foreign news sources more efficiently.
Why are tokens consumed so quickly?
Token consumption depends on the length of the articles summarized and the complexity of the prompts used. Detailed summaries and full-text scraping consume more tokens than basic title-based filtering.
Ratings & reviews
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