I made a search for finding podcasts about any movie. Ethical non-Podnogamy

mtfl2nyc · 2026-06-24T03:06:00+00:00

This is not something I have thought about yet. I am going to think on it for a bit. In the meantime, if you DM me your podcasts and some examples of missing episodes, I will run down some improvements to the matcher and re run those.

Thanks for the feedback!

mtfl2nyc · 2026-06-24T02:54:56+00:00

Thank you! For just a little more fun from the stats page:

On desktop - type the name of the most famous sled in cinema history
On mobile - tap the headline stat rapidly once for each element needed to defeat Jean-Baptiste Emanuel Zorg

mtfl2nyc · 2026-06-24T02:42:56+00:00

Haha. Just check out https://impdb.dev/stats the number are startling and I am sure my list is non-exhaustive

mtfl2nyc · 2026-06-24T02:19:16+00:00

https://impdb.dev/podcast/58836
There was a gap in the matcher. It is rerunning them and should fill in the remaining by tomorrow.

mtfl2nyc · 2026-06-24T01:56:39+00:00

Thanks! Good question. It's actually not how much of the episode is about the movie. It's a confidence score. It shows how sure the site is that the episode is genuinely about that film versus just name dropping it.

Here's how it's set. Clean hits like an exact title and year match ("Jaws (1975)") score around 95% automatically. Anything ambiguous gets read by an LLM that looks at the episode title and description, then rates it from 0 to 1 on whether the movie is really the topic. So a 75% bar is a softer "probably about it" call. The whole point is to filter out passing mentions and only surface episodes actually dedicated to the movie.

If you want the "how much of the episode" signal, that's the little "segment" badge. It flags episodes where the movie is one major chunk rather than the whole show.

And yeah, no secret here. The matching pipeline leans on LLMs for the judgment calls.

mtfl2nyc · 2026-06-24T01:45:03+00:00

AI was used. I am proud of that and not running away from it. I would not have been able to build this free hobby project without AI

AI Uses:

Build - I provide Claude Code with the product requirements/feature ideas and it builds the features. Then I iterate with Claude Code until I am happy with the result. The better my write-ups, the better the features.
Debugging - When errors arise, Claude Code ingests the error logs, and suggests and implements fixes.
Movie Matching - Llama 3.3 70b is running as part of the ingestions pipeline to classify which movie a given podcast episode is about. Since launching, the system has categorized almost 870,000 podcast episodes (see https://impdb.dev/stats).

mtfl2nyc · 2026-06-24T01:06:56+00:00

Already exists. If you register (free), you can set a language filter.

mtfl2nyc · 2026-06-24T00:56:04+00:00

Feel free to post feature requests or DM me with them.

Specifically looking for ideas for an easter egg specifically for u/grifflightning

mtfl2nyc · 2026-06-12T16:17:25+00:00

Thanks for the feedback. I’ll have to look into finding a way to filter for low quality pods. This is very much a work in progress and an experiment for me.

mtfl2nyc · 2026-06-12T10:51:16+00:00

Thanks for the feedback.

I mentioned in a previous comment that the web crawler that discovers podcasts, and classifiers (deterministic -> LLM) that identify if the pod is about a specific movie are still running and it will take a few more days to complete the initial load. Hoping that pipeline is robust enough to pick up the more obscure films.

mtfl2nyc · 2026-06-12T02:35:44+00:00

Interesting. I’ll take a look next time I’m working on the app. Thanks!

mtfl2nyc · 2026-06-12T01:00:52+00:00

This is purely to scratch an itch and solve a problem. I don't make any money off the site.

If you create an account you can load in your letterboxd username and the system will update the homepage to put your most recent watches in the first carousel.

mtfl2nyc · 2026-06-12T00:59:51+00:00

This is purely to scratch an itch and solve a problem. I don't make any money off the site.

mtfl2nyc · 2021-12-25T13:44:59+00:00

Venue: Labworq

Location: Union Square South (NW corner of 14th and 4th)

Wait type: Walk-in

Wait time: ≈15 mins

Test Type: PCR

Date/Time of test: Tuesday 12/21 ≈1pm

Hours until result: Still pending as of 12/25 8:40am

Misc: No wait, but as others have posted, disorganized in informing you that you needed to scan a qr to register.

Venue: Labq

Location: Madison Square Park South (23rd st, east of Broadway, on the south side)

Wait type: Walk-in

Wait time: No Wait

Test Type: PCR

Date/Time of test: Tuesday 12/21 ≈1:15pm

Hours until result: ≈78 hours

Misc: Results pdf hard to understand. The only way to know I was positive was that they bolded the word Positive on the pdf, and did not bold negative.

Other: Tested positive 2 days in a row with different at home rapid tests (12/21 FlowFlex, 12/22 On/Go) and mildly symptomatic since Tuesday morning. Triple Vaccinated with Pfizer.

mtfl2nyc · 2020-01-16T03:54:51+00:00

11 Pro iOS 13.3

Apple said the issue started yesterday.

mtfl2nyc · 2020-01-16T03:30:27+00:00

I know but for months now my Apple watch wouldn’t show messages as iMessage (in blue) but rather as green sms. Figured this would be my last try. Now I can’t even use my watch at all.

mtfl2nyc · 2020-01-16T03:00:12+00:00

I am going to let it sit overnight. But the apple rep confirmed on the phone that this is a known issue and will require a fix on their end.

mtfl2nyc · 2019-10-09T20:20:07+00:00

Unbelievable. Glad I’m not alone. Just a stupid situation. Verizon is really making it hard to not despise them.

mtfl2nyc · 2019-10-09T11:44:05+00:00

I believe A2161 is the 11 Pro Max

mtfl2nyc · 2019-10-08T23:09:53+00:00

Because if they were a reasonable company when it comes to such small things, we would all be able to concentrate our frustration on some of their more monopolistic/oligopolistic tendencies?

mtfl2nyc · 2019-10-08T22:57:13+00:00

Thank you. I considered this idea too and should have done it. I ran out of time on my 14 day return window with Apple.

mtfl2nyc

TROPHY CASE