Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

The web is searchable. Podcasts should be too. Introducing Radar by @particlepro_. Radar lets you search and spot trends in over 130,000 actively transcribed podcasts, with ~20k new episodes added daily. Millions of hours, billions of lines: all fully searchable, entity extracted, and rich with metadata. Set up alerts...

247,530 Aufrufe • vor 15 Tagen •via X (Twitter)

54 Kommentare

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

Podcasts contain some of the best conversations happening right now. But that knowledge is difficult to discover. Here are some things you can discover... What Demis Hassabis has said in recent podcast appearances:

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

Find out why “enshittification” is trending again:

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

Find mentions of the AI notetaker @meetgranola:

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

What are people saying about Claude code?

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

The first 1000 users get 50% off the first month with promo code LAUNCH26 Click here to signup:

Profilbild von Jim Prosser
Jim Prosservor 15 Tagen

@particlepro_ Oh hell yeah. This will help with a bunch of my workflows, like, today.

Profilbild von dan preiss
dan preissvor 15 Tagen

@particlepro_ Congrats on the launch! Have been wanting this for years. Excited to be an early customer.

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

@particlepro_ glad to hear it! let me know if there's anything i can help with 🙌

Profilbild von drew olanoff
drew olanoffvor 15 Tagen

@particlepro_ awesome. awesome. worked on this at pluggd 20 years ago (holy crap), glad to see something like that come to life!

Profilbild von John Melas-Kyriazi
John Melas-Kyriazivor 15 Tagen

@particlepro_ So cool. Reminds me a little of a few things @sferik worked on back in the day at Breaker

Profilbild von Sara Mauskopf
Sara Mauskopfvor 15 Tagen

@particlepro_ WOW This is amazing!!! I have always wanted this!!!

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

@particlepro_ 💪💪

Profilbild von J🫪E
J🫪Evor 15 Tagen

@particlepro_ Very awesome - this will replace a huge part of my digest agent workflows If you ever want power users as angels lmk!

Profilbild von Devan
Devanvor 15 Tagen

@particlepro_ incredible. are alerts for keywords on the roadmap?

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

@particlepro_ currently we have alerts for entities and guest appearances, but keywords are on the roadmap! what kinds of keywords are you looking to track?

Profilbild von Devan
Devanvor 15 Tagen

@particlepro_ agentic payments

Profilbild von rogerclark
rogerclarkvor 15 Tagen

godlike

Profilbild von jen reiber walsh
jen reiber walshvor 14 Tagen

@particlepro_ OOOOOOOH I AM OBSESSED WITH THIS

Profilbild von sara beykpour
sara beykpourvor 14 Tagen

@particlepro_ ❤️

Profilbild von Christina Melas-Kyriazi
Christina Melas-Kyriazivor 15 Tagen

@particlepro_ This is awesome!

Profilbild von Jon Tucker
Jon Tuckervor 15 Tagen

@Scobleizer @particlepro_ What’s this part from pod scan? @grok

Profilbild von Robert McLaws
Robert McLawsvor 13 Tagen

@particlepro_ Looks great! How do I submit my podcasts to the index?

Profilbild von sara beykpour
sara beykpourvor 13 Tagen

@particlepro_ DM me your podcastindex or itunes IDs and I'll have a look! 🙏

Profilbild von aly pavela
aly pavelavor 15 Tagen

@particlepro_ nice!! excited to try this out

Profilbild von usman
usmanvor 14 Tagen

@particlepro_ This is such a killer release!! Congrats!

Profilbild von Amy Saper
Amy Sapervor 15 Tagen

@particlepro_ Congrats on this launch!! Can’t wait to try it out

Profilbild von Jules Mossler
Jules Mosslervor 15 Tagen

@particlepro_ I’ve been driving myself crazy looking for something like this! Congrats, can’t wait to try

Profilbild von Suzanne Xie
Suzanne Xievor 15 Tagen

@particlepro_ Congrats! Excited to use this

Profilbild von Peter Morelli
Peter Morellivor 15 Tagen

@particlepro_ very cool!

Profilbild von bruce
brucevor 15 Tagen

@particlepro_ super awesome to see this go out 🚀

Profilbild von Nik Souris
Nik Sourisvor 14 Tagen

@particlepro_ This is awesome! Congrats.

Profilbild von Dharmesh Kakadia
Dharmesh Kakadiavor 15 Tagen

@particlepro_ Congrats on the launch! Looks super cool and very useful. I think I first found out entity based listing/search in breaker app (long time ago now), and was super happy to davour specific person's public views and how its changed over time etc.

Profilbild von Santosh Panda
Santosh Pandavor 15 Tagen

@particlepro_ brilliant!

Profilbild von Turner Novak 🍌🧢
Turner Novak 🍌🧢vor 14 Tagen

@particlepro_ This is really cool! Been thinking about trying to make something like this for myself. Just signed up.

Profilbild von sara beykpour
sara beykpourvor 14 Tagen

@particlepro_ awesome! would love any feedback. Also we are fully MCP enabled if that works better for your flows

Profilbild von Turner Novak 🍌🧢
Turner Novak 🍌🧢vor 14 Tagen

@particlepro_ Just bought a Business plan but still won't let me see the list of advertisers. Not sure if its because I signed-up for the Individual plan at first, not knowing that's what I needed?

Profilbild von Turner Novak 🍌🧢
Turner Novak 🍌🧢vor 14 Tagen

@particlepro_ Ok, just let me see. Would be helpful to see more than just the top 50. IE would be nice to check list of sponsors of the top 50/100 tech / business / etc podcasts.

Profilbild von sara beykpour
sara beykpourvor 14 Tagen

@particlepro_ good know! the API supports pagination, but we haven't added it to Radar yet. will add it asap.

Profilbild von sara beykpour
sara beykpourvor 14 Tagen

@particlepro_ just following up, there's pagination available on the Ads leaderboard now. categories like tech etc. are a good idea and we will add that to the list!

Profilbild von KP
KPvor 14 Tagen

@particlepro_ Sounds like @arvidkahl’s idea Podscan? 👀

Profilbild von Noah Horner
Noah Hornervor 14 Tagen

@nxthompson @particlepro_ this will be super helpful when you need to find personal nuggets to use when cold outbounding

Profilbild von HopeCCCCCCCCCCCCCCCC
HopeCCCCCCCCCCCCCCCCvor 15 Tagen

@particlepro_ podcasts staying unsearchable always felt weird, 130k transcribed is a lot to sit on

Profilbild von Ouriel
Ourielvor 15 Tagen

@particlepro_ mmm zengo does not come up once how does that work?

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

@particlepro_ Are you referring to the ZenGo the crypto wallet?

Profilbild von Ouriel
Ourielvor 15 Tagen

@particlepro_ correct. it was mentionned a few times recently in high profile podcasts. and has a long history . nothing shows up

Profilbild von sara beykpour
sara beykpourvor 15 Tagen

@particlepro_ gotcha, try a keyword search: it means our entity extraction detect it as an entity, or maybe it mapped to something else. will take a look, but since it has a unique name, keyword search should work too!

Profilbild von Ouriel
Ourielvor 15 Tagen

@particlepro_ now looks good

Profilbild von PunkXBT
PunkXBTvor 8 Tagen

@particlepro_ podcasts becoming queryable data is honestly a pretty big unlock for research workflows

Profilbild von Nat Bullard
Nat Bullardvor 15 Tagen

@particlepro_ this is very cool, @pandemona

Profilbild von Alex
Alexvor 15 Tagen

@particlepro_ Radar already has 20k episodes/day flowing in. the harder problem is ranking: does a 3-year-old interview surface when it's suddenly relevant, or does recency always win?

Profilbild von Scratch
Scratchvor 14 Tagen

@particlepro_ was hoping you had solved for entity names, but apparently not:

Profilbild von sara beykpour
sara beykpourvor 14 Tagen

@particlepro_ i'll take a look at why some of the later mentions didn't get tagged with the entity. there are many matches over the past year: but in the meantime for a company like supabase with a unique name, you can use keyword search:

Profilbild von Scratch
Scratchvor 14 Tagen

@particlepro_ are you doing a single pass audio to transcript? or a first pass with a transcription model and a second pass with a generative model? i've had the best success with running transcripts through that two pass setup, the second pass acting as the editor for exactly this reason

Profilbild von sara beykpour
sara beykpourvor 14 Tagen

@particlepro_ yep we do a first pass with the transcription model, and then several inference passes with LLMs. In that pipeline we also extract entities, so I'll take a look at why those supabase entities aren't being linked to those episodes.

Ähnliche Videos

How do you notch a FOX 3 in War Thunder? The simple answer is: Fly sideways. That's not a joke if you don't know this. Turn 90 degrees and place the Radar or Missile contact on your RWR on the 3 or 9 o'clock position, dump chaff, and either gain or lose altitude, until the missile or contact stops beeping. Radar and Radar missiles have what is known as a "Notch" filter. This filter is primarily to filter out the ground from the radar display or sensor. Because if a missile is moving at 1,000m/s, what is also approaching the missile at 1,000m/s? Often times it's the ground. However, this can cause the missile or radar to also filter out slow moving targets as background clutter. If you plane is not moving directly towards or away from the missile or radar it will start to think you are part of the clutter and filter you out, missing you in the process. This is the simplest explanation of how a notch works and how to do it. FOX 3s are extremely hard to dodge like this at close range though, so you typically don't want to do that. As your options are either: "Dump chaff and pray" or "Shoot the missile down with another missile." Either can actually work in War Thunder, but are extremely unreliable. Note, almost all planes do not have an RWR sensor on the top and bottom of the fuselage, so make sure you fly level and point either wingtip at the target. This is what is known as "Beam aspect" to the target, but most people just say "notching" or "F Pull." See the video for a practical example against an AIM-54 Phoenix.

HoraceVT 🪄🎬

56,972 Aufrufe • vor 8 Monaten