filter

More signal. Less noise. Better thinking.

One place for all your sources, built for focused learning.

Filter helps active learners aggregate, triage, and turn fragmented information streams into durable knowledge without rabbit holes.

RSSNewslettersYouTubeReddit

Example filter view

24 matches
UnreadHigh signalAI toolingLast 24h

New eval harness comparison for production LLM workflows

94

Applied AI Weekly

Retrieval tuning checklist from recent RAG incident postmortems

91

Builder Feed

Practical taxonomy design for long-term research tracking

88

Knowledge Systems Podcast

Why learners trust Filter

Canonical links preserved on every item

Noise suppression tuned to your engagement

Export-ready notes, highlights, and metadata

Quick start

Import your first sources and generate a starter feed in under two minutes.

Product preview

A landing-optimized version of the app experience.

This section mirrors the feed-first workspace pattern with dummy data so we can align on structure, copy, and hierarchy before wiring live app state.

Preview mode

Desktop shell

Filter Workspace

Sources

All sources43
RSS18
Newsletters9
YouTube7
Saved reads26

Source health

41 healthy, 2 need reconnect

Search sources, topics, or notes
High signalUnreadLast 24h

Latent Space Newsletter

12m ago

Open-source eval frameworks are converging on the same primitives

Consensus is forming around dataset versioning, grader quality, and reproducible runs.

LLM toolingEvaluationsHigh signal

r/MachineLearning

38m ago

RAG performance drops came from indexing strategy, not the model swap

Thread highlights practical chunking and retrieval settings that outperformed architecture changes.

RAGRetrievalBenchmark

Focused Builder RSS

1h ago

How to build weekly research loops that actually produce writing output

A repeatable cadence for reading, tagging, and turning notes into publishable drafts.

WritingPKMWorkflow

Reader preview

In flow

“Most teams over-focus on model swaps and under-invest in retrieval evaluation.”

Captured note

Benchmark indexing and chunk strategies before evaluating architecture-level changes.

Daily summary

Your feed is heavy on retrieval and eval tooling today. Start with 3 high-signal reads.

3 items worth reading first

Directly matches your active themes: evals, retrieval, and writing systems.

5 items can be batch-archived

Duplicate framing or low-depth takes already covered in stronger sources.

Saved views

Morning Triage

18 items

Unread + High signal + Last 24h

Build Inputs

24 items

Tooling + Product + AI infra

Weekly Synthesis

11 items

Saved + Tagged + Needs notes

Export

Notion

Push selected notes as a digest page

Obsidian

Export markdown with source links + tags

CSV / JSON

Full item data for custom workflows

Export selected notes

Messaging pillars

North Star-aligned narrative blocks.

One place for all your sources

Unified inputs across RSS, newsletters, video, and social so triage happens in one feed.

Attention protection by design

Calm, high-signal interfaces and ranking controls that suppress distraction and repetition.

Knowledge, not just consumption

Save, tag, annotate, and resurface what matters so reading compounds over time.

Your workflow, your data

Export-friendly architecture with handoff points for PKM tools and downstream systems.

Product flow

From fragmented inputs to focused output.

1. Aggregate

Bring all sources into one normalized stream.

Demo surface

43 connected sources

2 sources need reconnect

2. Triage

Process items quickly with quality and priority signals.

Demo surface

126 unread items scored

Top 18 surfaced as high-signal

3. Synthesize

Turn sessions into durable notes, tags, and reusable output.

Demo surface

12 highlights captured this week

6 notes ready for export

Start focused sessions

Replace scattered tabs with one feed that gets smarter every day.

Start with connected sources, triage the queue, and export your strongest insights into your existing workflow.