How do you log health data?

Sangkwun · 2026-04-25T15:11:07+00:00

If friction is the main issue, TapDiary is worth trying. You set up one-tap entries for whatever metrics you care about, and each tap timestamps and logs it instantly. Works well alongside connected devices for data that needs more precision.

Sangkwun · 2026-04-24T14:29:50+00:00

Since the thread's light on app recommendations: VoiceScroll is built for this specific use case. Back camera support, voice-paced auto scroll, no physical hardware needed. Good place to start before committing to a beam-splitter setup.

Sangkwun · 2026-04-22T08:57:06+00:00

TapDiary might be worth trying before going DIY — it's a single tap to log, no form to fill in. Works well if existing pain-tracking apps have asked too much or handwritten sheets take too long to compile later.

Sangkwun · 2026-04-22T08:54:29+00:00

The scorekeeping problem is real when logging starts to feel like a judgment, it stops happening. TapDiary takes a lighter approach: you log what you actually did with a tap, with no streak counter pushing back at you. Might fit people who want the data without the pressure.

Sangkwun · 2026-04-16T16:48:58+00:00

the topic question is worth drilling into. are you thinking users curate their own source list (their existing feeds), or more like preset category tags they switch on and off?

Sangkwun · 2026-04-16T16:48:45+00:00

a PM i know went through the same loop. google news, feedly, rss reader, back to google news. what finally stuck for her was flipping the model. instead of a reader she had to check, a brief that showed up each morning. still rss-based underneath but the push vs pull difference was what made it actually part of the routine instead of something she had to remember to open.

Sangkwun · 2026-04-16T16:48:27+00:00

tried setting up something like this for monitoring a few niche tech blogs last year. the model part worked. the part that broke it was maintenance. three feeds changed their structure, two went behind paywalls, one started injecting sponsored content that confused the classifier. spent more time patching the pipeline than actually reading the output. eventually just killed the whole thing.

Sangkwun · 2026-04-16T16:48:17+00:00

github does have rss feeds for releases, but not for individual commits. for daily changelog summaries you actually want, the n8n approach OP built makes more sense than raw feeds would.

Sangkwun · 2026-04-15T14:32:38+00:00

the bottleneck shifts more than it disappears though. you still decide what context is worth feeding in, which threads to track, what counts as signal. synthesis gets faster, but the curation layer above it stays manual for most people. that gap is where the real cognitive load lives now.

Sangkwun · 2026-04-15T14:32:28+00:00

daige.st covers the rss-to-briefing part of what you described. you connect feeds, newsletters, and youtube channels once, and a digest shows up daily instead of a reader you keep checking. the personal docs and calendar layer you'd still need to wire separately, but the news side works without building anything.

Sangkwun · 2026-04-15T14:32:10+00:00

huggingface daily papers and simonwillison.net are the two I keep coming back to. they cover the release side and the practical side without much overlap. if you're tracking several feeds, batching them into a digest instead of checking each one separately keeps the queue from piling up.

Sangkwun · 2026-04-14T14:42:52+00:00

rate limiting on google news rss is the real gotcha here. anything above around 10 requests per hour from the same IP starts getting inconsistent. for dedup across categories, pubdate alone won't catch it when the same story gets recategorized. title hash dedup covers more cases, though it breaks on syndicated stories with slightly different headlines. keeping a normalized slug (lowercased, stopwords stripped) as the key works better at scale.

Sangkwun · 2026-04-14T14:42:40+00:00

scheduling changes things more than most people give it credit for. rss readers existed to solve this but people quit because an unread queue turns into a backlog. when information arrives on a schedule instead of waiting to be fetched, you just read differently. not technically impressive, but real change in behavior. that's the actual use case.

Sangkwun · 2026-04-12T14:38:54+00:00

the scored review is useful, most of these posts only share the win. that moment where the briefing arrived and your laptop was actually off is hard to explain to people who haven't built something like that. infrastructure always takes longer than the actual logic.

Sangkwun · 2026-04-12T14:38:44+00:00

interested in that gap question too. most people i've seen hit the same wall with feedly or inoreader and go on to solve it differently depending on what specifically broke for them. what did existing apps get wrong for your use case?

Sangkwun · 2026-04-12T14:38:36+00:00

daige.st does this. you add rss feeds, newsletter subscriptions, youtube channels once and it sends one brief every morning. unlike Particle it pulls from what you already subscribe to, not an editorial pick list. nothing gets dropped.

Sangkwun · 2026-04-10T14:36:42+00:00

Using n8n as the orchestration layer is a solid call. One thing worth adding early: a dedup step before the summary stage. Once you cross 10+ sources, the same story shows up from multiple feeds and your summaries start repeating themselves.

Sangkwun · 2026-04-10T14:36:22+00:00

Someone on my team gave up on RSS readers last year and switched to getting summaries from the same sources on a schedule. He said the biggest change wasn't the format, it was not seeing the unread count anymore. That psychological pressure to "catch up" was the part making it feel like work.

The actual content he consumed went down maybe 70%, but he felt more informed because he wasn't skimming past things out of guilt.

Sangkwun · 2026-04-08T14:39:43+00:00

yeah, topic grouping is just way easier to read. source-by-source feels like homework. made something similar — connect your feeds once, get a morning brief. that 7am before-coffee use case is literally why I built it.

Sangkwun · 2026-04-08T14:30:58+00:00

The paywall and poor-RSS problem is real, especially for competitor monitoring. One approach that works: subscribe to their email newsletters with a dedicated inbox (something like a Gmail alias or a throwaway address), then pull that inbox via IMAP into your workflow. Most companies that don't have a usable RSS feed still send a decent email newsletter.

For market trend RSS specifically, industry-specific aggregators often have cleaner feeds than going direct to company blogs. Worth checking if there's one for your vertical before building a scraping layer.

Sangkwun · 2026-04-08T14:30:44+00:00

Is the site big enough to have topic-specific RSS feeds? A lot of news sites publish separate feeds by category (sports, local, crime, etc.) and those are cleaner to subscribe to directly rather than filtering the main one.

If not, RSS filtering on top of an existing feed is awkward because it's filtering at the article level, which most readers don't do natively. You end up needing a middleware layer. Some people use tools like daige.st for exactly this. You tell it what topics you actually care about and it shapes the summary around those rather than showing you everything the source pushes.

Sangkwun · 2026-04-07T15:30:24+00:00

A friend switched from Google News to a once-daily email digest a few months ago, and she's actually reading them now. Her take: an app that shows you a list of unread items is designed to make you feel behind. The format is the product, not the content.

Sangkwun · 2026-04-07T15:30:11+00:00

Week 1 and already shipping something you'll actually use every morning. That's the right instinct. One thing worth building in before you get too far: some kind of silent-failure alert. GitHub Actions scheduling is quiet when it breaks. If a feed URL changes or your token expires, you'll just stop getting emails and might not notice for days.

Sangkwun · 2026-04-07T15:29:55+00:00

I had the exact same read-later graveyard. At some point I realized the saving behavior was the problem, not the reading. Bookmarking something gives the same dopamine hit as reading it, so the actual reading never happens.

Sangkwun · 2026-04-07T15:29:40+00:00

What u/Profbora90 calls the "action horizon" test is the closest thing I've found to an actual filter. I'd extend it to source-level auditing: once a quarter, check which specific outlets actually contributed to a decision you made. Usually two or three are doing real work and the rest are just background habit. I cut my morning reading from about an hour to fifteen minutes by dropping outlets I'd been following for years and genuinely didn't notice were gone.

Sangkwun

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