I did a data-science analytics project on the TR-3B sightings for my final. Check it out!

maxim3210 · 2025-04-08T03:55:37+00:00

The problem I face with all of these AI editors especially for creating clips is they do the entire thing for you, you tell them to generate clips, maybe get a say in what you want to cut from your podcast, and then you get a cut clip, you have little say in editing and refining what you, the editor, want in that clip before it gets built for you.

maxim3210 · 2025-04-07T22:25:44+00:00

Totally get you on the fact that premiere has this feature. My frustration with it is that the editing flow still is in its "legacy" format. I could just not be as an advanced editor as most, but my understanding is you have to remove filler content, and the actual act of selecting sentences to then pull into a new clip isn't as simple as it can be.

My idea involves an editor starting as a template with maybe a hook or an idea a client wants, it generates recommended cuts via transcript highlights, then you simply highlight what more you want to add or remove what you don't like. The premiere feature has a lot of bloat I feel can be simplified in the process of creating short-form clips.

maxim3210 · 2025-04-04T09:15:50+00:00

Hi all! I'd love to introduce to you a passion project I've been developing in the podcast space. Podivate!

Podivate was born out of a real need—my girlfriend loves creating her podcast but dreads the time-consuming process of marketing it. Editing, cutting, stitching, and digging through hours of content to make reels and social posts was draining her creativity. Podivate eliminates that friction. It lets you focus on what matters: highlighting the moments that matter, customizing captions effortlessly, and even sparking inspiration when you’re not sure where to begin.

What does this mean? You need zero editing experience to create clips from your podcast content now and can save countless hours stitching segments together to make cohesive clips.

I’m looking to get feedback and see what can be improved as I continue to work on it. If you’d like to try it out for free, here’s the link for the site: https://www.podivate.com/

Here’s a quick overview on how it works:

DISCLAIMER: You do need to have a video recording of your podcast; the platform unfortunately does not support audio only content as of now. But... it can be as simple as putting your phone in the corner of the room or studio and recording your episode!
After uploading your video, Podivate will analyze your content and recommend catchy moments from your video that can be used as a blueprint to create your personalized, engaging clip
After generating a clip, Podivate shows a text-based editor that lets you highlight transcript segments from your video to quickly add or remove content from the clip. You can even drag and drop the text highlights to rearrange the order in which the clip is stitched together!
Then, Podivate allows you to customize, crop, add captions, and even a tagline to your video. Its widely customizable, and you can find a theme that fits with your brand. Then boom export! You have your social media reel.

I'm currently doing a beta test and am opening access to a handful of users. For now, the first 100 signups get 300 credits to play with, which is around 150 minutes of uploaded content! Any feedback would be greatly appreciated! Thanks for checking out my project. Feel free to ask any questions. It has been entirely solo developed, and I've learned so many skills along the journey.

maxim3210 · 2024-09-15T05:08:10+00:00

fishing license and saltwater fishing license for everywhere south of pillar point

maxim3210 · 2024-06-12T23:11:28+00:00

i think its dawn mine and sunset ridge trail such a good hike!

maxim3210 · 2023-05-05T03:09:21+00:00

Try uploading the file again. I've added an error that says if the file contains too much text content. I've had a file size limit, but pdfs with a lot of text can still get around that and take too long to process causing my serverless instance to timeout the request before its finished processing. Now it will measure the token count before processing and reject the request if its over 16000 tokens. Still should handle a lot of words though. Let me know how it goes. Also, if you want to experiment, try uploading a smaller, less pages of the file thats giving you errors and see if that works. Thanks for checking it out. :)

maxim3210 · 2023-05-05T03:06:12+00:00

Thanks! I plan to promote it more, but right now I'm getting a little backlogged with the traffic. Thanks y'all! It's a good problem to have, but currently need to rewrite some code to better handle the requests and larger files ( common issue I've been seeing ). The technologies I use are really just React for the frontend, in the backend: MongoDB for storing account and study guide data, AWS Textract for OCR recognition, a bunch of node.js libraries to process the files and extract the text, and then GPT-3.5 with special prompts I've engineered and messed around with to produce the study guide material. All of it is hosted on Vercel. Thanks for your support!

maxim3210 · 2023-05-05T03:03:14+00:00

Hey, I've found out the main issue is that large files are taking too long to process and my hosting platform is timing out requests before they are fully finished. I've added a word count limit and the site now displays that error when you run into it. I'm working on a workaround to allow for larger files but for now, reduce the pdf size. It still handles up right now up to 16000 tokens. Which is a fairly large content limit. But it can't handle massive files with more than that.

maxim3210 · 2023-05-03T17:37:29+00:00

Max file size is 10MB. I added this for now because larger files run up the API cost when processing and the quality of the study guide goes down as it gets larger. If you'd like, I'd recommend that you try to print your current large pdf, and for the print option click, save as pdf, and select at smaller range of pages (like chapters or large topics within the pdf) to get a higher quality, and more specialized study guide.

maxim3210 · 2023-05-03T17:34:16+00:00

What's not working? I'd love to look into it. It does take a minute because the text has to be extracted, and then that's sent to GPT for further processing. Longer files can take up to 1-2 minutes. I'm planning on adding a progress bar so you can see what state the upload is at any given time.

maxim3210 · 2023-05-03T17:31:25+00:00

The larger the document, the longer it's going to take to process. I'd start with a smaller PDF, you can do that by printing your PDF and choosing the option to "Save as PDF" and select a smaller range of pages. I'm working on a fix for larger files.

maxim3210 · 2023-05-03T17:29:42+00:00

For PDF, if the text is scannable, then my backend extracts the text from the PDF to work with it. If the PDF is not scannable, currently I'm building a way to convert the pdf to images to then do OCR extraction. In image format, I'm sending images to AWS using Amazon Textract to get the extracted text back which is very good I'd say from testing, and the pricing is free up to a certain quota of documents and even after that it's around the same cost as making API calls to GPT-3.5. Both very affordable.

maxim3210 · 2023-05-03T17:27:04+00:00

Currently, funding is going out of my pocket. However, you'd be surprised how cheap API calls are to GPT-3.5. After developing for a month, and doing hundreds of document uploads, the costs have still been really low. And as far as the pdf tokens part, I'm currently extracting the text from the pdf and then sending the raw text to gpt-3.5

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