Dailygram

Turn selected public social profiles into a daily AI email digest

KINDA · partial replacement
price $5/mosubscription / year $60estimated build time multi-dayreplaced by 0 people

The personal digest pipeline is a realistic weekend build if you bring feeds or a data provider. Reliable ingestion from Instagram, X, TikTok, and LinkedIn is not a one-shot project: access restrictions, changing page formats, rate limits, and connector maintenance are the product's durable edge.

Build verification: not recorded. How we judge buildability

What you give up

  • maintained ingestion across four social networks
  • resilience to rate limits, blocks, and page changes
  • automatic profile discovery and source setup
  • managed email delivery and monitoring

Why people still pay

People pay for Dailygram because the digest UI is the easy part. The subscription keeps public-profile ingestion working across hostile and frequently changing platforms, then runs summarization and email delivery without asking the user to maintain feeds, workers, or retries.

Your build guide

The stack, security requirements, and agent rules for a focused replacement.

Before you start

  • Runtime and tools: Python, a bounded HTTP worker, feedparser, SQLite FTS5 and a small local web reader.
  • Before starting: A reviewed list of permitted RSS/Atom feeds and OPML examples; a running worker is required for scheduled refresh.
01
Python, a bounded HTTP worker, feedparser, SQLite FTS5 and a small local web reader
02
Data design: Store ProfileFeed, Item, DigestWindow, DigestItem and DeliveryAttempt; fix the digest window and item IDs before sending so retries cannot include different content.
03
Setup: A reviewed list of permitted RSS/Atom feeds and OPML examples; a running worker is required for scheduled refresh
engineering roadmap

Implementation plan

1

Phase 1

Pin the working slice and create its example input: Collect posts from user-supplied profile feeds, deduplicate them and send one reviewed daily digest with links and short attributed summaries. Confirm setup: A reviewed list of permitted RSS/Atom feeds and OPML examples; a running worker is required for scheduled refresh.

2

Phase 2

Implement persistence and write-time invariants before decorating the UI: Store ProfileFeed, Item, DigestWindow, DigestItem and DeliveryAttempt; fix the digest window and item IDs before sending so retries cannot include different content.

3

Phase 3

Connect the working view to real saved state. Preserve feed GUIDs with a canonical URL fallback. Use conditional requests, per-host backoff and separate fetch errors from empty feeds; sanitize article HTML and prevent private-network URL fetches.

4

Phase 4

Expose the app-specific limits and recovery path in context: Use permitted feeds, not login scraping. Summary generation and email delivery are optional configured services; a failed feed should appear as incomplete coverage in the digest.

5

Phase 5

Walk through this concrete acceptance case and preserve its exported evidence: Refresh the same post with a changed title after the digest is queued; the current digest keeps its snapshot, and the next one does not reannounce the same stable item. Finish the README and backup/restore instructions; report unfinished capabilities explicitly.

the pro prompt
download AGENTS.md
Build the following focused alternative to Dailygram. This is a deliberately limited personal or small-team substitute, not parity with the paid service.

WORKING SLICE
Collect posts from user-supplied profile feeds, deduplicate them and send one reviewed daily digest with links and short attributed summaries.

SETUP AND ARCHITECTURE
Use Python, a bounded HTTP worker, feedparser, SQLite FTS5 and a small local web reader. Prerequisites: A reviewed list of permitted RSS/Atom feeds and OPML examples; a running worker is required for scheduled refresh. Before integrating anything, record actual versions and permissions, plus model files or provider limits only where used, in the README; make unavailable dependencies visible rather than simulating success.

DOMAIN MODEL AND INVARIANTS
Store ProfileFeed, Item, DigestWindow, DigestItem and DeliveryAttempt; fix the digest window and item IDs before sending so retries cannot include different content.

IMPLEMENTATION CONTRACT
Preserve feed GUIDs with a canonical URL fallback. Use conditional requests, per-host backoff and separate fetch errors from empty feeds; sanitize article HTML and prevent private-network URL fetches. Provide an input/setup view, the main work view, and a review/export view appropriate to this workflow. Preserve the last saved state if a job or save fails. Include empty, loading, permission-denied, partial and retryable-error states. Log identifiers and error categories without secret values or unnecessary private content.

APP-SPECIFIC BOUNDARY AND RECOVERY
Use permitted feeds, not login scraping. Summary generation and email delivery are optional configured services; a failed feed should appear as incomplete coverage in the digest.

ACCEPTANCE SCENARIO
Refresh the same post with a changed title after the digest is queued; the current digest keeps its snapshot, and the next one does not reannounce the same stable item. Also reopen the app after an interrupted operation, confirm the saved record/export remains inspectable, and document the recovery action. These are implementation acceptance requirements, not a claim that this guide has been tested.

DELIVERY
Deliver a runnable repository with migrations or project-format versioning, a non-sensitive example, environment/permission setup, the exact manual acceptance steps, and a backup/export-and-restore walkthrough. Implement the working slice before optional integrations; list any deferred paid-product capabilities honestly. Do not add capabilities outside the working slice just to resemble the original product.

PROJECT RULES FOR AGENTS.md
Keep the domain invariants above executable at the write boundary. Propose scope changes before adding providers or permissions. Never fabricate source evidence, publish results, identity matches or successful delivery. Preserve user originals and require an explicit confirmation for destructive changes or external publication.

$ open in your agent (prompt prefilled, you press enter), copy the prompt or copy or download AGENTS.md

prior art · use these instead of building, if you'd ratherRSSHubOpen-source RSS generator with routes for many sites and services.↗HuginnSelf-hosted agents that watch sources and build automated digests.↗
share on X ↗

Dailygram pricing

planmonthlyannual (per mo)what you get
10 profiles$5/workspace—Up to 10 monitored public social profiles.Current 50%-off price is $5/month; published list price is $10/month, with no stated promotion end date.
unlimited$50/workspace—Unlimited monitored public social profiles.Current 50%-off price is $50/month; published list price is $100/month, with no stated promotion end date.

free tierno perpetual free tier; free evaluation sends 7 total digests for up to 2 profiles

billingmonthly only; no annual plan published

hidden costsThe public 50%-off prices do not state whether the discount is permanent or when accounts return to the $10/$100 list prices.

pricing sources checked 2026-08-14 · pricing source ↗

Questions about Dailygram

Can you build your own Dailygram with AI?

Partly. The personal digest pipeline is a realistic weekend build if you bring feeds or a data provider. Reliable ingestion from Instagram, X, TikTok, and LinkedIn is not a one-shot project: access restrictions, changing page formats, rate limits, and connector maintenance are the product's durable edge.

What does the Dailygram build prompt cover?

The prompt starts with this scope: Collect posts from user-supplied profile feeds, deduplicate them and send one reviewed daily digest with links and short attributed summaries. Full-product capabilities excluded from the comparison include: maintained ingestion across four social networks; resilience to rate limits, blocks, and page changes; automatic profile discovery and source setup. Follow the implementation plan and its prerequisites before expanding the build.

How do I use the prompt, AGENTS.md and agent skills?

Start with the Dailygram prerequisites and stack, then copy the prompt into your coding agent. Save the project rules as AGENTS.md in the project root. Linked skills are optional packages or source instructions for specific tasks; review their current contents and install only those matching the chosen stack. A skill does not supply API credentials or verify the finished app.

How long will this Dailygram project take?

The catalogue estimate is multi-day for the limited scope. Setup, integration approvals, debugging, deployment and ongoing maintenance can add time. This is an estimate, not a delivery guarantee.

What would I give up by replacing Dailygram?

maintained ingestion across four social networks; resilience to rate limits, blocks, and page changes; automatic profile discovery and source setup; managed email delivery and monitoring. People pay for Dailygram because the digest UI is the easy part. The subscription keeps public-profile ingestion working across hostile and frequently changing platforms, then runs summarization and email delivery without asking the user to maintain feeds, workers, or retries.

What price is this guide comparing against?

The recorded 10 Profiles plan is $5/mo (monthly), checked 2026-08-14. Check the linked pricing source before buying. Building your own also has hosting, API and maintenance costs; the recorded amount is not a guaranteed saving.

What can I use instead of building Dailygram?

The prior-art section lists RSSHub, Huginn as starting points. Review their current scope, license and maintenance before adopting one.

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