

Interesting idea, but that’s out of scope for this app, Fathom is just a Jellyfin/YouTube/Seerr client, with no torrent or P2P layer, so there’s nothing for I2P to integrate with.


Interesting idea, but that’s out of scope for this app, Fathom is just a Jellyfin/YouTube/Seerr client, with no torrent or P2P layer, so there’s nothing for I2P to integrate with.


Unfortunately, it’s Jellyfin-only. Emby and Jellyfin came from the same codebase originally, but their APIs and auth have drifted apart enough that Fathom’s Jellyfin-specific calls won’t work against Emby. No Emby support planned, the focus is Jellyfin, alongside the Seerr and YouTube pieces.


Yes, the YouTube side is fully client-side, the app resolves and fetches the stream directly, the Jellyfin server isn’t involved at all. So YouTube sees the connection of whatever machine is running Fathom, using that machine’s IP and location. Fathom doesn’t spoof anything itself, but because it’s client-side, running it at home or behind a VPN is what should decide the location YouTube sees.


yes here are a few of different areas:





Appreciate the kind words, thank you.


Happy to hear! You are very welcome!


Updated, thank you.


Thanks for pointing this out. As I’ve mentioned before, I have always been transparent about utilizing AI assistance to help develop my apps. I wasn’t aware of the requirement to include a specific tag for them, but I appreciate you letting me know. I will make sure to include [AIP] in the title of my posts going forward.


Thanks for giving it a chance. Alot of time, effort, and testing went into this self hosted app. I am a longtime Mealie user and though its an absolutely great recipe manager, there were a few more things i wanted to see in an app like this, and thus CookTrace was born. Feel free to report any bugs or feature requests on the github page.


RC2 now includes improved import functionality. I believe this will address your concern above!


should now be addressed in latest RC6.


Genuinely useful feedback, thanks for taking the time. Walking through each:
Per-exercise sharing. Real gap. The exercises table is already structured cleanly enough to dump one as JSON; adding a “share this exercise” button that produces an importable file is small. The community-repo idea is good too: a separate awesome-lifttrace-exercises repo where people can drop contributions, and the in-app importer can read from a URL. Going on the roadmap.
Custom equipment + searchable tags. The schema already supports arbitrary equipment strings; the UI just defaults to a fixed list. Adding a “+” in the equipment picker plus a “what’s available today” filter chip set on the Exercises page is genuinely useful, especially for travel and home-gym use. Adding to the roadmap as a near-term candidate.
Per-exercise timer for time-based work. Real gap. The rest timer infrastructure exists but doesn’t currently cover “do this exercise for N seconds with a countdown and a cue.” That’s a meaningful addition for anyone doing carries, planks, isometrics, hangs, or hybrid stuff. Sharing the same audio + haptic plumbing as the rest timer keeps it cheap. Roadmapped.
Per-set / per-round rest in HIIT-style circuits. Currently rest is global with per-exercise memory, which doesn’t cover the “20s between reps, 2 minutes between rounds” pattern you described. That’s a structural change to how sets express rest. Going on the list to think through together with the time-based timer above, since they share infra.
Heart-rate data. The export direction you called out is the cheap win, and you’re right that PWA makes it easy. I’ll push a CSV export of the completed workout (sets, reps, weights, RPE, timestamps, rest durations) in a near term RC. That covers anyone who wants to feed an external analysis pipeline. Live HR ingestion from a BLE chest strap is the heavier direction and goes on the roadmap.
Thanks again for your valuable feedback. Appreciate the level of detail.


Thanks for highlighting the above:
Banner overlapping the H1 (“rcises”). This one I’m fixing structurally. The illustrated SVG banners across LiftTrace (and my other 2 Trace apps) are getting removed entirely. They were the single biggest source of layout fragility across viewport sizes, plus they were doing the project no favors aesthetically. In their place: the existing compact Gradient header stays as-is, and the “Animated” option becomes a subtly animated version of the same compact gradient (slow accent-hue drift, same height, no overlapping content). Three modes total: Animated, Gradient, Off, all sharing the same compact-header geometry. That removes a whole category of bugs and trims a real chunk of bespoke SVG maintenance.
Until that is released, you can flip your view to Settings → Appearance → Page Banners → Gradient (or Off) and the overlap should go away immediately.
Add button + exercise count missing on mobile. Real bug, haven’t pinned down the CSS yet but I’ll find it. The Exercises page action bar isn’t wrapping or relocating correctly at narrow widths.
Thanks again for bringing these to my attention.


Here is what i see as some differences today between CookTrace and Tandoor:
CookTrace:
Where Tandoor still wins today: PDF / image OCR bulk import, longer track record, larger ecosystem, iCal meal-plan feeds.
Importer’s there in CookTrace, so you can move a copy over to compare with zero risk to your existing library whenever the time shows up.


Honestly, not automagically. CookTrace’s bulk importers today handle JSON, HTML, schema.org Recipe markup, and full-backup zips from Mealie / Tandoor / Paprika. Plain text, RTF, and PDF aren’t on that list yet, and there’s no “point at a folder and import everything” mode.
What works today for the same end goal:
A proper OCR import is a worthwhile feature. I created a feature enhancement request in the GitHub repo, so that in the near future I can set aside some time to explore how feasible it would be to implement.


That URL should import cleanly; it’s a standard food blog with the markup the importer expects.
TikTok though, honestly, no. TikTok pages don’t expose the recipe text to scrapers and the AI fallback has almost nothing to work with. A real TikTok URL importer would need to call TikTok’s caption API and transcribe the video audio, which isn’t built yet.
Workaround that may possibly work today: screenshot the recipe overlay (or the comment where the creator wrote it out) and use Photo Import the AI extracts the recipe from the image. Two taps, same result.


Not right now. I want to get all my apps past the RC stage and into stable GA but will certainly consider it in the future.


The app is primarily aimed at lifting weights but does also account for body weight exercises such as pullups, pushups, etc. with respect to walking/running/cycling etc, i have that incorporated into my other app which is primarily focused on nutrition/wellness called NutriTrace.


just added. Was a request for my other NutriTrace App so made sure to add it here as well.
Yeah, unfortunately that’s a Google account/billing thing, not a playback thing. Fathom only fetches the video stream on your machine; it doesn’t touch your account or Premium. That “verify your country” check is much stricter than playback and wants a residential IP in the country, so datacenter VPN ranges like Proton’s can get “flagged”. Nothing i think a media client alone can get around.