Documents and notes decision
Dailygram
A lightweight, single-user replacement (scrape + LLM summaries + email) is realistic to build and run, but matching the production reliability, multi-platform scraping scale, and polished UX of the paid product requires ongoing maintenance and engineering effort—so build a narrow self-hosted workflow if you can maintain scrapers, otherwise keep paying.
Visit website↗No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- 1) fetch public posts from target profiles (scrape or API), 2) store new posts and dedupe in Postgres, 3) generate per-post and per-profile summaries with an LLM, 4) assemble HTML email digest and schedule/send via an SMTP/ESP, 5) simple web UI to add/remove monitored profiles and set delivery time.
What it still won’t have
- Robust anti-break scraping/scale handled by vendor
- Priority queue processing and SLA for digest generation
- Polished UX and creator directory
- Built-in analytics/aggregation across many profiles
- Support and priority customer service
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 12 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted DailyGram-like service using Python (FastAPI), Playwright for scraping, Postgres for storage, Redis for job queue (RQ or Celery), OpenAI for summarization, and SendGrid for emails. In scope: public-profile scraping for Instagram/X/TikTok/LinkedIn, deduplication and storage of posts, LLM-based per-post and per-profile summaries, scheduled daily digest generation, a minimal web UI to add/remove profiles and set delivery time, and emailed HTML digest with links to original posts. Out of scope: user accounts billing, analytics dashboards, bot-resistance at massive scale, enterprise SLAs. Include rate-limiting, exponential backoff, retries for scraping and API calls, logging, basic unit/integration tests, Docker compose for local deployment, and a README with deployment and maintenance steps.
How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Price verified on pricing page+3
- Evidence score56
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.
How scoring works →Cited sources · 2
Every page the run actually retrieved.
- official productDailyGram – Track & Monitor Instagram, TikTok, X and LinkedIn Profiles
- official pricingDailyGram Pricing excerpt
Integrity checks
What held up, and what did not.
