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In this episode, the host shares insights on the current tech stack they are using for their project, Audio Brevity. The stack heavily relies on PocketBase for managing authentication and database functionalities. The simplicity and rapid deployment ability of PocketBase influenced the decision over Superbase, despite acknowledging potential regrets in the future. The speaker expresses satisfaction with the performance and speed of their system but notes some performance issues that require further analysis and tooling adjustments, especially regarding data retrieval and rendering times.
The host dives into the integration of various advanced technologies like server-side Next.js, Whisper model on RunPod, and the HIKU model from Anthropic, which enables the processing of long transcripts efficiently. The speaker highlights challenges faced with handling JSON responses from Anthropic's model and discusses the need for robust edge case handling when working with LLMs. Despite these challenges, there is an ongoing effort to streamline processes and optimize workflows.
Fly.io is highlighted as the preferred hosting solution for its straightforward setup and functionality, particularly for private networking. The host also talks about their choice of Stripe as a payment provider, sharing a brief experience with Lemon Squeezy, which was not suitable for their immediate needs. The emphasis is on maintaining effective payment solutions while navigating startup hurdles.
Lastly, the host discusses the use of Storybook as a tool for collaboration with designers. This allows for seamless sharing of builds and feedback, which is crucial in the development process. Overall, the tech stack is designed to foster efficient collaboration, rapid deployment, and effective management of content.
{"id":3527,"podcast_episode_id":19445,"raw_transcription":"{\"delayTime\":14563,\"executionTime\":7620,\"id\":\"e5528576-f9d6-4d7b-94ac-6bb664b57d0d-u1\",\"output\":{\"detected_language\":\"en\",\"device\":\"cuda\",\"model\":\"base\",\"segments\":[{\"avg_logprob\":-0.12844422043010753,\"compression_ratio\":1.6875,\"end\":5.64,\"id\":1,\"no_speech_prob\":0.159912109375,\"seek\":2434,\"start\":0,\"temperature\":0,\"text\":\" thought I'd do a quick share on the stack that I'm currently building on and I don't think it's\",\"tokens\":[50364,1194,286,1116,360,257,1702,2073,322,264,8630,300,286,478,4362,2390,322,293,286,500,380,519,309,311,50648]},{\"avg_logprob\":-0.12844422043010753,\"compression_ratio\":1.6875,\"end\":12.58,\"id\":2,\"no_speech_prob\":0.159912109375,\"seek\":2434,\"start\":5.64,\"temperature\":0,\"text\":\" the final stack that's for certain but I'm in I'm deep and I like it and it is definitely doing\",\"tokens\":[50648,264,2572,8630,300,311,337,1629,457,286,478,294,286,478,2452,293,286,411,309,293,309,307,2138,884,50992]},{\"avg_logprob\":-0.12844422043010753,\"compression_ratio\":1.6875,\"end\":19.24,\"id\":3,\"no_speech_prob\":0.159912109375,\"seek\":2434,\"start\":12.58,\"temperature\":0,\"text\":\" everything that I needed to do and so ultimately I went with pocket base as kind of the core piece\",\"tokens\":[50992,1203,300,286,2978,281,360,293,370,6284,286,1437,365,8963,3096,382,733,295,264,4965,2522,51336]},{\"avg_logprob\":-0.12844422043010753,\"compression_ratio\":1.6875,\"end\":24.34,\"id\":4,\"no_speech_prob\":0.159912109375,\"seek\":2434,\"start\":19.24,\"temperature\":0,\"text\":\" that was running my authentication and my database and that's sitting on top of the SQL\",\"tokens\":[51336,300,390,2614,452,26643,293,452,8149,293,300,311,3798,322,1192,295,264,19200,51580]},{\"avg_logprob\":-0.14370265151515152,\"compression_ratio\":1.7327586206896552,\"end\":30.12,\"id\":5,\"no_speech_prob\":0.1707763671875,\"seek\":5062,\"start\":24.34,\"temperature\":0,\"text\":\" like database and it is clickety split.
Although I am running into some weird performance issues where\",\"tokens\":[50364,411,8149,293,309,307,2052,2210,7472,13,5780,286,669,2614,666,512,3657,3389,2663,689,50656]},{\"avg_logprob\":-0.14370265151515152,\"compression_ratio\":1.7327586206896552,\"end\":35.92,\"id\":6,\"no_speech_prob\":0.1707763671875,\"seek\":5062,\"start\":30.12,\"temperature\":0,\"text\":\" it's taking a long time to get data and I don't know if it's a combination of it's taking a long time\",\"tokens\":[50656,309,311,1940,257,938,565,281,483,1412,293,286,500,380,458,498,309,311,257,6562,295,309,311,1940,257,938,565,50968]},{\"avg_logprob\":-0.14370265151515152,\"compression_ratio\":1.7327586206896552,\"end\":42.9,\"id\":7,\"no_speech_prob\":0.1707763671875,\"seek\":5062,\"start\":35.92,\"temperature\":0,\"text\":\" to get the data and it's taking a long time for next JS to render it server side.
So I'm looking at\",\"tokens\":[50968,281,483,264,1412,293,309,311,1940,257,938,565,337,958,33063,281,15529,309,7154,1252,13,407,286,478,1237,412,51292]},{\"avg_logprob\":-0.14370265151515152,\"compression_ratio\":1.7327586206896552,\"end\":50.62,\"id\":8,\"no_speech_prob\":0.1707763671875,\"seek\":5062,\"start\":42.9,\"temperature\":0,\"text\":\" how to tool that better because I have some podcasts that have a lot of HTML data that ultimately\",\"tokens\":[51292,577,281,2290,300,1101,570,286,362,512,24045,300,362,257,688,295,17995,1412,300,6284,51676]},{\"avg_logprob\":-0.18339512711864406,\"compression_ratio\":1.6892857142857143,\"end\":56.1,\"id\":9,\"no_speech_prob\":0.147705078125,\"seek\":7900,\"start\":50.62,\"temperature\":0,\"text\":\" is being presented on the DOM and so is that what's taking so long?
So I need to get some\",\"tokens\":[50364,307,885,8212,322,264,35727,293,370,307,300,437,311,1940,370,938,30,407,286,643,281,483,512,50636]},{\"avg_logprob\":-0.18339512711864406,\"compression_ratio\":1.6892857142857143,\"end\":59.98,\"id\":10,\"no_speech_prob\":0.147705078125,\"seek\":7900,\"start\":56.1,\"temperature\":0,\"text\":\" better tooling in there.
I'm planning to add century here soon.
So hopefully I'll be able to watch\",\"tokens\":[50636,1101,46593,294,456,13,286,478,5038,281,909,4901,510,2321,13,407,4696,286,603,312,1075,281,1159,50832]},{\"avg_logprob\":-0.18339512711864406,\"compression_ratio\":1.6892857142857143,\"end\":67.94,\"id\":11,\"no_speech_prob\":0.147705078125,\"seek\":7900,\"start\":59.98,\"temperature\":0,\"text\":\" that across the server to the client and ultimately figure out what's going on there.
But at the\",\"tokens\":[50832,300,2108,264,7154,281,264,6423,293,6284,2573,484,437,311,516,322,456,13,583,412,264,51224]},{\"avg_logprob\":-0.18339512711864406,\"compression_ratio\":1.6892857142857143,\"end\":72.16,\"id\":12,\"no_speech_prob\":0.147705078125,\"seek\":7900,\"start\":67.94,\"temperature\":0,\"text\":\" end of the day, I'm really impressed with pocket base.
It's doing everything I need it to do\",\"tokens\":[51224,917,295,264,786,11,286,478,534,11679,365,8963,3096,13,467,311,884,1203,286,643,309,281,360,51460]},{\"avg_logprob\":-0.18339512711864406,\"compression_ratio\":1.6892857142857143,\"end\":79,\"id\":13,\"no_speech_prob\":0.147705078125,\"seek\":7900,\"start\":72.16,\"temperature\":0,\"text\":\" and then some and helping me get this thing off the ground much faster than I ever would have.\",\"tokens\":[51460,293,550,512,293,4315,385,483,341,551,766,264,2727,709,4663,813,286,1562,576,362,13,51780]},{\"avg_logprob\":-0.18599232456140352,\"compression_ratio\":1.7067669172932332,\"end\":85.02,\"id\":14,\"no_speech_prob\":0.267822265625,\"seek\":10660,\"start\":79,\"temperature\":0,\"text\":\" of, you know, I didn't have another alternative to this.
I tried super base, but ultimately decided\",\"tokens\":[50364,295,11,291,458,11,286,994,380,362,1071,8535,281,341,13,286,3031,1687,3096,11,457,6284,3047,50674]},{\"avg_logprob\":-0.18599232456140352,\"compression_ratio\":1.7067669172932332,\"end\":92.42,\"id\":15,\"no_speech_prob\":0.267822265625,\"seek\":10660,\"start\":85.02,\"temperature\":0,\"text\":\" on this because of its simplicity.
And I felt like super base was backing me into a, even\",\"tokens\":[50674,322,341,570,295,1080,25632,13,400,286,2762,411,1687,3096,390,19373,385,666,257,11,754,51036]},{\"avg_logprob\":-0.18599232456140352,\"compression_ratio\":1.7067669172932332,\"end\":97.32,\"id\":16,\"no_speech_prob\":0.267822265625,\"seek\":10660,\"start\":92.42,\"temperature\":0,\"text\":\" though it's open source, it just felt like it was bigger than I needed it to be.
I will\",\"tokens\":[51036,1673,309,311,1269,4009,11,309,445,2762,411,309,390,3801,813,286,2978,309,281,312,13,286,486,51282]},{\"avg_logprob\":-0.18599232456140352,\"compression_ratio\":1.7067669172932332,\"end\":101.66,\"id\":17,\"no_speech_prob\":0.267822265625,\"seek\":10660,\"start\":97.32,\"temperature\":0,\"text\":\" probably, you know, come back to regret that eventually.
And maybe I should have gone\",\"tokens\":[51282,1391,11,291,458,11,808,646,281,10879,300,4728,13,400,1310,286,820,362,2780,51500]},{\"avg_logprob\":-0.18599232456140352,\"compression_ratio\":1.7067669172932332,\"end\":106.6,\"id\":18,\"no_speech_prob\":0.267822265625,\"seek\":10660,\"start\":101.66,\"temperature\":0,\"text\":\" super base, but here's still learning and just going for it.
If you listen to the previous\",\"tokens\":[51500,1687,3096,11,457,510,311,920,2539,293,445,516,337,309,13,759,291,2140,281,264,3894,51746]},{\"avg_logprob\":-0.24908088235294118,\"compression_ratio\":1.5707964601769913,\"end\":111.34,\"id\":19,\"no_speech_prob\":0.09796142578125,\"seek\":13158,\"start\":106.6,\"temperature\":0,\"text\":\" one, I just needed to make this real.
I was experimenting with pocket base and I said,\",\"tokens\":[50364,472,11,286,445,2978,281,652,341,957,13,286,390,29070,365,8963,3096,293,286,848,11,50604]},{\"avg_logprob\":-0.24908088235294118,\"compression_ratio\":1.5707964601769913,\"end\":117.94,\"id\":20,\"no_speech_prob\":0.09796142578125,\"seek\":13158,\"start\":111.34,\"temperature\":0,\"text\":\" let's go.
And there it is.
I've got a couple of APIs sitting on an express app for things\",\"tokens\":[50604,718,311,352,13,400,456,309,307,13,286,600,658,257,1916,295,21445,3798,322,364,5109,724,337,721,50936]},{\"avg_logprob\":-0.24908088235294118,\"compression_ratio\":1.5707964601769913,\"end\":123.58,\"id\":21,\"no_speech_prob\":0.09796142578125,\"seek\":13158,\"start\":117.94,\"temperature\":0,\"text\":\" that I want some queuing on.
And then next jazz is the front end.
I've got Whisper running\",\"tokens\":[50936,300,286,528,512,631,9635,322,13,400,550,958,15066,307,264,1868,917,13,286,600,658,41132,610,2614,51216]},{\"avg_logprob\":-0.24908088235294118,\"compression_ratio\":1.5707964601769913,\"end\":131.58,\"id\":22,\"no_speech_prob\":0.09796142578125,\"seek\":13158,\"start\":123.58,\"temperature\":0,\"text\":\" on run pod.
And then I ended up with Anthropic.
And I'm using the HIKU model.
It allows\",\"tokens\":[51216,322,1190,2497,13,400,550,286,4590,493,365,12727,1513,299,13,400,286,478,1228,264,389,22670,52,2316,13,467,4045,51614]},{\"avg_logprob\":-0.18936820652173914,\"compression_ratio\":1.6131687242798354,\"end\":137.28,\"id\":23,\"no_speech_prob\":0.35107421875,\"seek\":15592,\"start\":131.58,\"temperature\":0,\"text\":\" me for massive context windows, which I'm kind of doing at this point to brute force my way into\",\"tokens\":[50364,385,337,5994,4319,9309,11,597,286,478,733,295,884,412,341,935,281,47909,3464,452,636,666,50648]},{\"avg_logprob\":-0.18936820652173914,\"compression_ratio\":1.6131687242798354,\"end\":141.78,\"id\":24,\"no_speech_prob\":0.35107421875,\"seek\":15592,\"start\":137.28,\"temperature\":0,\"text\":\" saying, hey, take the entire transcript of this podcast.
It could be eight hours long.
I just\",\"tokens\":[50648,1566,11,4177,11,747,264,2302,24444,295,341,7367,13,467,727,312,3180,2496,938,13,286,445,50880]},{\"avg_logprob\":-0.18936820652173914,\"compression_ratio\":1.6131687242798354,\"end\":150.04,\"id\":25,\"no_speech_prob\":0.35107421875,\"seek\":15592,\"start\":141.78,\"temperature\":0,\"text\":\" pop onto this Anthropic IQ model that can totally take all the tokens it wants.
I will probably tune\",\"tokens\":[50880,1665,3911,341,12727,39173,28921,2316,300,393,3879,747,439,264,22667,309,2738,13,286,486,1391,10864,51288]},{\"avg_logprob\":-0.18936820652173914,\"compression_ratio\":1.6131687242798354,\"end\":155.92,\"id\":26,\"no_speech_prob\":0.35107421875,\"seek\":15592,\"start\":150.04,\"temperature\":0,\"text\":\" that later and might find different models will work differently.
One thing Anthropics model doesn't\",\"tokens\":[51288,300,1780,293,1062,915,819,5245,486,589,7614,13,1485,551,12727,1513,1167,2316,1177,380,51576]},{\"avg_logprob\":-0.197265625,\"compression_ratio\":1.6742424242424243,\"end\":162.72,\"id\":27,\"no_speech_prob\":0.18212890625,\"seek\":18060,\"start\":155.92,\"temperature\":0,\"text\":\" do is it does not respond with JSON well.
And I am fighting with that regularly.
Most of\",\"tokens\":[50364,360,307,309,775,406,4196,365,31828,731,13,400,286,669,5237,365,300,11672,13,4534,295,50704]},{\"avg_logprob\":-0.197265625,\"compression_ratio\":1.6742424242424243,\"end\":167.26,\"id\":28,\"no_speech_prob\":0.18212890625,\"seek\":18060,\"start\":162.72,\"temperature\":0,\"text\":\" the time, if there's any errors, it's that, you know, it's the double, you know, it's\",\"tokens\":[50704,264,565,11,498,456,311,604,13603,11,309,311,300,11,291,458,11,309,311,264,3834,11,291,458,11,309,311,50931]},{\"avg_logprob\":-0.197265625,\"compression_ratio\":1.6742424242424243,\"end\":173.02,\"id\":29,\"no_speech_prob\":0.18212890625,\"seek\":18060,\"start\":167.26,\"temperature\":0,\"text\":\" putting a quote inside of the quotes and it's driving me bonkers.
But it's, it's kind\",\"tokens\":[50931,3372,257,6513,1854,295,264,19963,293,309,311,4840,385,4428,24259,13,583,309,311,11,309,311,733,51222]},{\"avg_logprob\":-0.197265625,\"compression_ratio\":1.6742424242424243,\"end\":176.58,\"id\":30,\"no_speech_prob\":0.18212890625,\"seek\":18060,\"start\":173.02,\"temperature\":0,\"text\":\" of the way of LLMS.
They will kind of do whatever they want to do.
So you have to put all\",\"tokens\":[51222,295,264,636,295,441,43,10288,13,814,486,733,295,360,2035,436,528,281,360,13,407,291,362,281,829,439,51398]},{\"avg_logprob\":-0.197265625,\"compression_ratio\":1.6742424242424243,\"end\":180.6,\"id\":31,\"no_speech_prob\":0.18212890625,\"seek\":18060,\"start\":176.58,\"temperature\":0,\"text\":\" these guardrails around them.
And if the data is coming back in a way that you didn't like,\",\"tokens\":[51398,613,6290,424,4174,926,552,13,400,498,264,1412,307,1348,646,294,257,636,300,291,994,380,411,11,51620]},{\"avg_logprob\":-0.20828276699029127,\"compression_ratio\":1.5959183673469388,\"end\":186.74,\"id\":32,\"no_speech_prob\":0.23046875,\"seek\":20472,\"start\":180.6,\"temperature\":0,\"text\":\" you have to just kind of work around it and put a lot of edge cases in.
Luckily, you can usually take\",\"tokens\":[50364,291,362,281,445,733,295,589,926,309,293,829,257,688,295,4691,3331,294,13,19726,11,291,393,2673,747,50672]},{\"avg_logprob\":-0.20828276699029127,\"compression_ratio\":1.5959183673469388,\"end\":191.82,\"id\":33,\"no_speech_prob\":0.23046875,\"seek\":20472,\"start\":186.74,\"temperature\":0,\"text\":\" those edge cases, throw it into an LLM and say, oh, I write code against this edge case.
And it'll\",\"tokens\":[50672,729,4691,3331,11,3507,309,666,364,441,43,44,293,584,11,1954,11,286,2464,3089,1970,341,4691,1389,13,400,309,603,50924]},{\"avg_logprob\":-0.20828276699029127,\"compression_ratio\":1.5959183673469388,\"end\":197.1,\"id\":34,\"no_speech_prob\":0.23046875,\"seek\":20472,\"start\":191.82,\"temperature\":0,\"text\":\" usually split something out that's a way to get you started.
And then I'm using Stripe as the\",\"tokens\":[50924,2673,7472,746,484,300,311,257,636,281,483,291,1409,13,400,550,286,478,1228,20390,494,382,264,51196]},{\"avg_logprob\":-0.20828276699029127,\"compression_ratio\":1.5959183673469388,\"end\":204.72,\"id\":35,\"no_speech_prob\":0.23046875,\"seek\":20472,\"start\":197.85999999999999,\"temperature\":0,\"text\":\" ultimate payment provider.
Interesting.
I tried using lemon squeezy, but they said and needed to\",\"tokens\":[51196,9705,10224,12398,13,14711,13,286,3031,1228,11356,8447,68,1229,11,457,436,848,293,2978,281,51568]},{\"avg_logprob\":-0.2370049504950495,\"compression_ratio\":1.577092511013216,\"end\":212.46,\"id\":36,\"no_speech_prob\":0.11260986328125,\"seek\":23074,\"start\":204.72,\"temperature\":0,\"text\":\" like launch first before they would support me, they did say like, hey, we could do a demo\",\"tokens\":[50364,411,4025,700,949,436,576,1406,385,11,436,630,584,411,11,4177,11,321,727,360,257,10723,50764]},{\"avg_logprob\":-0.2370049504950495,\"compression_ratio\":1.577092511013216,\"end\":218.24,\"id\":37,\"no_speech_prob\":0.11260986328125,\"seek\":23074,\"start\":212.46,\"temperature\":0,\"text\":\" and things like that.
Hold on, wait a minute, I'm confused.
I'm just going to go use strike\",\"tokens\":[50764,293,721,411,300,13,6962,322,11,1699,257,3456,11,286,478,9019,13,286,478,445,516,281,352,764,9302,51042]},{\"avg_logprob\":-0.2370049504950495,\"compression_ratio\":1.577092511013216,\"end\":223.9,\"id\":38,\"no_speech_prob\":0.11260986328125,\"seek\":23074,\"start\":218.24,\"temperature\":0,\"text\":\" for now.
I'll come back to this and take a look at this later.
And so that's the stack.\",\"tokens\":[51042,337,586,13,286,603,808,646,281,341,293,747,257,574,412,341,1780,13,400,370,300,311,264,8630,13,51336]},{\"avg_logprob\":-0.2370049504950495,\"compression_ratio\":1.577092511013216,\"end\":230.74,\"id\":39,\"no_speech_prob\":0.11260986328125,\"seek\":23074,\"start\":224.2,\"temperature\":0,\"text\":\" So oh, and fly IO is where everything's hosted.
And I'm loving fly IO's ability to have\",\"tokens\":[51336,407,1954,11,293,3603,39839,307,689,1203,311,19204,13,400,286,478,9344,3603,39839,311,3485,281,362,51670]},{\"avg_logprob\":-0.17410714285714285,\"compression_ratio\":1.6090534979423867,\"end\":235.3,\"id\":40,\"no_speech_prob\":0.12408447265625,\"seek\":25548,\"start\":230.74,\"temperature\":0,\"text\":\" the private network.
Now, I know they, and they say it left and right that it's not the security\",\"tokens\":[50364,264,4551,3209,13,823,11,286,458,436,11,293,436,584,309,1411,293,558,300,309,311,406,264,3825,50596]},{\"avg_logprob\":-0.17410714285714285,\"compression_ratio\":1.6090534979423867,\"end\":243.3,\"id\":41,\"no_speech_prob\":0.12408447265625,\"seek\":25548,\"start\":235.3,\"temperature\":0,\"text\":\" layer in itself.
It's not, you know, VPC that, you know, you can 100% rely on, although, you know,\",\"tokens\":[50596,4583,294,2564,13,467,311,406,11,291,458,11,691,12986,300,11,291,458,11,291,393,2319,4,10687,322,11,4878,11,291,458,11,51000]},{\"avg_logprob\":-0.17410714285714285,\"compression_ratio\":1.6090534979423867,\"end\":249.16,\"id\":42,\"no_speech_prob\":0.12408447265625,\"seek\":25548,\"start\":243.72,\"temperature\":0,\"text\":\" I think it's wise, right?
You should always have multiple layers of security.
But I've been doing\",\"tokens\":[51000,286,519,309,311,10829,11,558,30,509,820,1009,362,3866,7914,295,3825,13,583,286,600,668,884,51284]},{\"avg_logprob\":-0.17410714285714285,\"compression_ratio\":1.6090534979423867,\"end\":255.48,\"id\":43,\"no_speech_prob\":0.12408447265625,\"seek\":25548,\"start\":249.16,\"temperature\":0,\"text\":\" some stuff on Azure for some client stuff and, you know, just getting all that setup is extremely\",\"tokens\":[51284,512,1507,322,11969,337,512,6423,1507,293,11,291,458,11,445,1242,439,300,8657,307,4664,51604]},{\"avg_logprob\":-0.23451206140350878,\"compression_ratio\":1.7014925373134329,\"end\":261.2,\"id\":44,\"no_speech_prob\":0.452392578125,\"seek\":28402,\"start\":255.48,\"temperature\":0,\"text\":\" painful if you have any sort of custom things that you need and with the flyo it literally\",\"tokens\":[50364,11697,498,291,362,604,1333,295,2375,721,300,291,643,293,365,264,3603,78,309,3736,50652]},{\"avg_logprob\":-0.23451206140350878,\"compression_ratio\":1.7014925373134329,\"end\":266.12,\"id\":45,\"no_speech_prob\":0.452392578125,\"seek\":28402,\"start\":261.2,\"temperature\":0,\"text\":\" just it just works and I'm really impressed with that so but yeah that's been the stacks\",\"tokens\":[50652,445,309,445,1985,293,286,478,534,11679,365,300,370,457,1338,300,311,668,264,30792,50896]},{\"avg_logprob\":-0.23451206140350878,\"compression_ratio\":1.7014925373134329,\"end\":273.38,\"id\":46,\"no_speech_prob\":0.452392578125,\"seek\":28402,\"start\":266.12,\"temperature\":0,\"text\":\" of flyo with pocket-based express next JS.
I've been using Storybook so when I want to ship\",\"tokens\":[50896,295,3603,78,365,8963,12,6032,5109,958,33063,13,286,600,668,1228,14484,2939,370,562,286,528,281,5374,51260]},{\"avg_logprob\":-0.23451206140350878,\"compression_ratio\":1.7014925373134329,\"end\":277.82,\"id\":47,\"no_speech_prob\":0.452392578125,\"seek\":28402,\"start\":273.38,\"temperature\":0,\"text\":\" something to my designer to take a look at what I built out I just have Storybook sitting\",\"tokens\":[51260,746,281,452,11795,281,747,257,574,412,437,286,3094,484,286,445,362,14484,2939,3798,51480]},{\"avg_logprob\":-0.23451206140350878,\"compression_ratio\":1.7014925373134329,\"end\":284.02,\"id\":48,\"no_speech_prob\":0.452392578125,\"seek\":28402,\"start\":277.82,\"temperature\":0,\"text\":\" on flyo as well which is super awesome because it's off 99% of the time until my designer pops\",\"tokens\":[51480,322,3603,78,382,731,597,307,1687,3476,570,309,311,766,11803,4,295,264,565,1826,452,11795,16795,51792]},{\"avg_logprob\":-0.31813524590163933,\"compression_ratio\":1.358974358974359,\"end\":288.8,\"id\":49,\"no_speech_prob\":0.041412353515625,\"seek\":29876,\"start\":284.02,\"temperature\":0,\"text\":\" in there and wants to take a look and pull it.
It spins up.
And then, yeah, RunPod has the whisper\",\"tokens\":[50364,294,456,293,2738,281,747,257,574,293,2235,309,13,467,31587,493,13,400,550,11,1338,11,8950,40742,575,264,26018,50606]},{\"avg_logprob\":-0.31813524590163933,\"compression_ratio\":1.358974358974359,\"end\":295.32,\"id\":50,\"no_speech_prob\":0.041412353515625,\"seek\":29876,\"start\":288.8,\"temperature\":0,\"text\":\" model on it, Anthropic, and Stripes.
That is the tech stack for audio brevity that I'm working\",\"tokens\":[50606,2316,322,309,11,12727,39173,11,293,20390,5190,13,663,307,264,7553,8630,337,6278,1403,23110,300,286,478,1364,50934]},{\"avg_logprob\":-0.31813524590163933,\"compression_ratio\":1.358974358974359,\"end\":296.16,\"id\":51,\"no_speech_prob\":0.041412353515625,\"seek\":29876,\"start\":295.32,\"temperature\":0,\"text\":\" through right now.\",\"tokens\":[50934,807,558,586,13,50970]}],\"transcription\":\"thought I'd do a quick share on the stack that I'm currently building on and I don't think it's the final stack that's for certain but I'm in I'm deep and I like it and it is definitely doing everything that I needed to do and so ultimately I went with pocket base as kind of the core piece that was running my authentication and my database and that's sitting on top of the SQL like database and it is clickety split.
Although I am running into some weird performance issues where it's taking a long time to get data and I don't know if it's a combination of it's taking a long time to get the data and it's taking a long time for next JS to render it server side.
So I'm looking at how to tool that better because I have some podcasts that have a lot of HTML data that ultimately is being presented on the DOM and so is that what's taking so long?
So I need to get some better tooling in there.
I'm planning to add century here soon.
So hopefully I'll be able to watch that across the server to the client and ultimately figure out what's going on there.
But at the end of the day, I'm really impressed with pocket base.
It's doing everything I need it to do and then some and helping me get this thing off the ground much faster than I ever would have.
of, you know, I didn't have another alternative to this.
I tried super base, but ultimately decided on this because of its simplicity.
And I felt like super base was backing me into a, even though it's open source, it just felt like it was bigger than I needed it to be.
I will probably, you know, come back to regret that eventually.
And maybe I should have gone super base, but here's still learning and just going for it.
If you listen to the previous one, I just needed to make this real.
I was experimenting with pocket base and I said, let's go.
And there it is.
I've got a couple of APIs sitting on an express app for things that I want some queuing on.
And then next jazz is the front end.
I've got Whisper running on run pod.
And then I ended up with Anthropic.
And I'm using the HIKU model.
It allows me for massive context windows, which I'm kind of doing at this point to brute force my way into saying, hey, take the entire transcript of this podcast.
It could be eight hours long.
I just pop onto this Anthropic IQ model that can totally take all the tokens it wants.
I will probably tune that later and might find different models will work differently.
One thing Anthropics model doesn't do is it does not respond with JSON well.
And I am fighting with that regularly.
Most of the time, if there's any errors, it's that, you know, it's the double, you know, it's putting a quote inside of the quotes and it's driving me bonkers.
But it's, it's kind of the way of LLMS.
They will kind of do whatever they want to do.
So you have to put all these guardrails around them.
And if the data is coming back in a way that you didn't like, you have to just kind of work around it and put a lot of edge cases in.
Luckily, you can usually take those edge cases, throw it into an LLM and say, oh, I write code against this edge case.
And it'll usually split something out that's a way to get you started.
And then I'm using Stripe as the ultimate payment provider.
Interesting.
I tried using lemon squeezy, but they said and needed to like launch first before they would support me, they did say like, hey, we could do a demo and things like that.
Hold on, wait a minute, I'm confused.
I'm just going to go use strike for now.
I'll come back to this and take a look at this later.
And so that's the stack.
So oh, and fly IO is where everything's hosted.
And I'm loving fly IO's ability to have the private network.
Now, I know they, and they say it left and right that it's not the security layer in itself.
It's not, you know, VPC that, you know, you can 100% rely on, although, you know, I think it's wise, right?
You should always have multiple layers of security.
But I've been doing some stuff on Azure for some client stuff and, you know, just getting all that setup is extremely painful if you have any sort of custom things that you need and with the flyo it literally just it just works and I'm really impressed with that so but yeah that's been the stacks of flyo with pocket-based express next JS.
I've been using Storybook so when I want to ship something to my designer to take a look at what I built out I just have Storybook sitting on flyo as well which is super awesome because it's off 99% of the time until my designer pops in there and wants to take a look and pull it.
It spins up.
And then, yeah, RunPod has the whisper model on it, Anthropic, and Stripes.
That is the tech stack for audio brevity that I'm working through right now.\",\"translation\":null,\"word_timestamps\":[{\"end\":0.34,\"start\":0,\"word\":\" thought\"},{\"end\":0.54,\"start\":0.34,\"word\":\" I'd\"},{\"end\":0.6,\"start\":0.54,\"word\":\" do\"},{\"end\":0.74,\"start\":0.6,\"word\":\" a\"},{\"end\":0.92,\"start\":0.74,\"word\":\" quick\"},{\"end\":1.28,\"start\":0.92,\"word\":\" share\"},{\"end\":1.72,\"start\":1.28,\"word\":\" on\"},{\"end\":2.04,\"start\":1.72,\"word\":\" the\"},{\"end\":2.5,\"start\":2.04,\"word\":\" stack\"},{\"end\":3,\"start\":2.5,\"word\":\" that\"},{\"end\":3.18,\"start\":3,\"word\":\" I'm\"},{\"end\":3.42,\"start\":3.18,\"word\":\" currently\"},{\"end\":3.78,\"start\":3.42,\"word\":\" building\"},{\"end\":4.06,\"start\":3.78,\"word\":\" on\"},{\"end\":4.78,\"start\":4.06,\"word\":\" and\"},{\"end\":4.94,\"start\":4.78,\"word\":\" I\"},{\"end\":5.12,\"start\":4.94,\"word\":\" don't\"},{\"end\":5.34,\"start\":5.12,\"word\":\" 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definitely\"},{\"end\":12.58,\"start\":12.28,\"word\":\" doing\"},{\"end\":12.92,\"start\":12.58,\"word\":\" everything\"},{\"end\":13.1,\"start\":12.92,\"word\":\" that\"},{\"end\":13.22,\"start\":13.1,\"word\":\" I\"},{\"end\":13.44,\"start\":13.22,\"word\":\" needed\"},{\"end\":13.68,\"start\":13.44,\"word\":\" to\"},{\"end\":13.9,\"start\":13.68,\"word\":\" do\"},{\"end\":14.72,\"start\":13.9,\"word\":\" and\"},{\"end\":14.96,\"start\":14.72,\"word\":\" so\"},{\"end\":15.42,\"start\":14.96,\"word\":\" ultimately\"},{\"end\":16.26,\"start\":15.42,\"word\":\" I\"},{\"end\":16.94,\"start\":16.26,\"word\":\" went\"},{\"end\":17.2,\"start\":16.94,\"word\":\" with\"},{\"end\":17.5,\"start\":17.2,\"word\":\" pocket\"},{\"end\":17.74,\"start\":17.5,\"word\":\" base\"},{\"end\":18.18,\"start\":17.74,\"word\":\" as\"},{\"end\":18.4,\"start\":18.18,\"word\":\" kind\"},{\"end\":18.46,\"start\":18.4,\"word\":\" of\"},{\"end\":18.58,\"start\":18.46,\"word\":\" 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Although I am running into some weird performance issues where it's taking a long time to get data and I don't know if it's a combination of it's taking a long time to get the data and it's taking a long time for next JS to render it server side.
So I'm looking at how to tool that better because I have some podcasts that have a lot of HTML data that ultimately is being presented on the DOM and so is that what's taking so long?
So I need to get some better tooling in there.
I'm planning to add century here soon.
So hopefully I'll be able to watch that across the server to the client and ultimately figure out what's going on there.
But at the end of the day, I'm really impressed with pocket base.
It's doing everything I need it to do and then some and helping me get this thing off the ground much faster than I ever would have.
of, you know, I didn't have another alternative to this.
I tried super base, but ultimately decided on this because of its simplicity.
And I felt like super base was backing me into a, even though it's open source, it just felt like it was bigger than I needed it to be.
I will probably, you know, come back to regret that eventually.
And maybe I should have gone super base, but here's still learning and just going for it.
If you listen to the previous one, I just needed to make this real.
I was experimenting with pocket base and I said, let's go.
And there it is.
I've got a couple of APIs sitting on an express app for things that I want some queuing on.
And then next jazz is the front end.
I've got Whisper running on run pod.
And then I ended up with Anthropic.
And I'm using the HIKU model.
It allows me for massive context windows, which I'm kind of doing at this point to brute force my way into saying, hey, take the entire transcript of this podcast.
It could be eight hours long.
I just pop onto this Anthropic IQ model that can totally take all the tokens it wants.
I will probably tune that later and might find different models will work differently.
One thing Anthropics model doesn't do is it does not respond with JSON well.
And I am fighting with that regularly.
Most of the time, if there's any errors, it's that, you know, it's the double, you know, it's putting a quote inside of the quotes and it's driving me bonkers.
But it's, it's kind of the way of LLMS.
They will kind of do whatever they want to do.
So you have to put all these guardrails around them.
And if the data is coming back in a way that you didn't like, you have to just kind of work around it and put a lot of edge cases in.
Luckily, you can usually take those edge cases, throw it into an LLM and say, oh, I write code against this edge case.
And it'll usually split something out that's a way to get you started.
And then I'm using Stripe as the ultimate payment provider.
Interesting.
I tried using lemon squeezy, but they said and needed to like launch first before they would support me, they did say like, hey, we could do a demo and things like that.
Hold on, wait a minute, I'm confused.
I'm just going to go use strike for now.
I'll come back to this and take a look at this later.
And so that's the stack.
So oh, and fly IO is where everything's hosted.
And I'm loving fly IO's ability to have the private network.
Now, I know they, and they say it left and right that it's not the security layer in itself.
It's not, you know, VPC that, you know, you can 100% rely on, although, you know, I think it's wise, right?
You should always have multiple layers of security.
But I've been doing some stuff on Azure for some client stuff and, you know, just getting all that setup is extremely painful if you have any sort of custom things that you need and with the flyo it literally just it just works and I'm really impressed with that so but yeah that's been the stacks of flyo with pocket-based express next JS.
I've been using Storybook so when I want to ship something to my designer to take a look at what I built out I just have Storybook sitting on flyo as well which is super awesome because it's off 99% of the time until my designer pops in there and wants to take a look and pull it.
It spins up.
And then, yeah, RunPod has the whisper model on it, Anthropic, and Stripes.
That is the tech stack for audio brevity that I'm working through right now.","created_at":"2025-01-20T22:13:48.000000Z","updated_at":"2025-01-20T22:14:21.000000Z","requested_by":[2],"status":"completed","delay_time":null,"worker_id":null,"job_id":null,"execution_time":null,"runpod_job_id":null,"error_message":null,"completed_at":null,"word_level_timestamps":null}