Mindcase is the infrastructure layer for extracting web data in a structured, usable format. Built for developers and AI teams that need reliable web data without managing scraping infrastructure. Access APIs across popular sources, or get anything across the web built as a custom API for your specific use case.
The one API across completely different data sources is what caught my attention. Not having to rebuild the pipeline every time you need a new source is huge.
@jagbir_singh5Β Thanks Jagbir, that was the exact pain that started this. Every source has its own auth quirks, pagination, and rate limits, so we normalised all of it behind one call shape. Swapping linkedin/profiles for amazon/products is a one line change, same request, same structured response.
Straight question for this thread, since you are the people who would actually use it: what should we build next?
We have live library across LinkedIn, Amazon, Google, Instagram, TikTok and YouTube, and almost every one of them exists because somebody asked for it, not because we planned it. So tell me the source you need, the two or three fields you actually care about, and roughly how many rows a month.
I will reply in this thread with whether it is straightforward, hard, or honestly a bad idea. Niche is fine. Some regional marketplace or an industry directory nobody outside that industry has heard of is usually more useful to us than another big platform.
Jumping in as one of the makers here - If you are looking at this next to something you already pay for, we would much rather you tell us where we fall short than quietly close the tab.
We are a small team and the most useful thing we have ever gotten from a launch is somebody explaining precisely why they did not switch. So push on it today. Ask about the sources you actually need rather than the ones in our screenshots, ask what happens when a site changes, ask what a failed run costs you.
The 100% bonus credits run for 24 hours and your first call is free, which is mostly so you can test the reliability claims yourself rather than take our word for them in a launch post.
We are in the comments all day, and will give you a straight answer even when it is that we are not the right fit for what you are doing.
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@kanupriya_chhabra1 great work! I already worked with different scrapers such as Apify or bright data but also ScrapingBee. How do you make sure you don't get blocked by LinkedIn?
@kritishpuri Congratulations on launch, this seems like a great product replacing apify for me, but i have some questions:
1. How we compare this to composio why this is better? 2. If i fetch a reddit or twitter post and got charged for it today example 1$ then will i be charged for the same exact fetch if i call the same posts twice in a day?
Second question is the one im bent on
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@kanupriya_chhabra1 I can see so many potential use cases for @Mindcase and I love the pay-as-yo-go model rather than an ongoing subscription. Best of luck with the launch.
@codeandseaΒ Thank you Brent. Subscriptions felt wrong for something this bursty. Most teams pull hard for a week, then go quiet, and paying for idle months makes no sense. Prepaid wallet, no seats, no minimums, you pay for rows you actually collect.
We didn't set out to build a web data platform. We were just trying to get reliable data into the AI products we were building.
But getting data from the web turned out to be a lot harder than we expected. Scrapers would break, proxies would get blocked, parsers needed constant fixes, and before long, we were spending more time maintaining the data infrastructure than building the actual product.
So we started building what we wished we had. And that became Mindcase.
Mindcase is a web data API for AI agents - one API call in, clean structured data out.
You pick an agent, send it your inputs, and Mindcase handles everything in between: collection, rotating infrastructure, anti-bot, retries, scaling, and parsing.
Today, you can choose from 75+ ready-to-use agents across LinkedIn, Amazon, Google, Instagram, TikTok, YouTube and more.
A few things we're particularly excited about:
One API across sources β switch from linkedin/profiles to amazon/products without rebuilding your pipeline
Built for developers β Python & Node.js SDKs
Pay only for what you collect β prepaid wallet, no seats, subscriptions, or minimums
Transparent pricing β $0.06β$20 per 1,000 rows depending on the agent
No scraping infrastructure to manage β that's our problem, not yours
We're two founders from IIM Ahmedabad, building Mindcase with a small team and sweating the reliability details so you don't have to. It's built for teams using web data to power AI agents, lead generation, enrichment, market intelligence, e-commerce, research, data pipelines, and more.
And since we're launching on Product Hunt, we're giving 100% bonus credits on every credit purchase for the next 24 hours.
π Get your first call free + claim the 100% bonus on all our pricing plans:https://mindcase.co
We're going to be in the comments all day. Ask us anything, tell us what you think, or tell us which platform you'd like us to build an agent for next.
Really excited to finally share this with PH. π
The one API across completely different data sources is what caught my attention. Not having to rebuild the pipeline every time you need a new source is huge.
Mindcase
@jagbir_singh5Β Thanks Jagbir, that was the exact pain that started this. Every source has its own auth quirks, pagination, and rate limits, so we normalised all of it behind one call shape. Swapping linkedin/profiles for amazon/products is a one line change, same request, same structured response.
Mindcase
Saurabh here, cofounder at Mindcase.
Straight question for this thread, since you are the people who would actually use it: what should we build next?
We have live library across LinkedIn, Amazon, Google, Instagram, TikTok and YouTube, and almost every one of them exists because somebody asked for it, not because we planned it. So tell me the source you need, the two or three fields you actually care about, and roughly how many rows a month.
I will reply in this thread with whether it is straightforward, hard, or honestly a bad idea. Niche is fine. Some regional marketplace or an industry directory nobody outside that industry has heard of is usually more useful to us than another big platform.
Mindcase
Jumping in as one of the makers here - If you are looking at this next to something you already pay for, we would much rather you tell us where we fall short than quietly close the tab.
We are a small team and the most useful thing we have ever gotten from a launch is somebody explaining precisely why they did not switch. So push on it today. Ask about the sources you actually need rather than the ones in our screenshots, ask what happens when a site changes, ask what a failed run costs you.
The 100% bonus credits run for 24 hours and your first call is free, which is mostly so you can test the reliability claims yourself rather than take our word for them in a launch post.
We are in the comments all day, and will give you a straight answer even when it is that we are not the right fit for what you are doing.
@kanupriya_chhabra1 great work! I already worked with different scrapers such as Apify or bright data but also ScrapingBee. How do you make sure you don't get blocked by LinkedIn?
@kanupriya_chhabra1Β @fmbaechleΒ yeah would like to know that too
@kritishpuri Congratulations on launch, this seems like a great product replacing apify for me,
but i have some questions:
1. How we compare this to composio why this is better?
2. If i fetch a reddit or twitter post and got charged for it today example 1$ then will i be charged for the same exact fetch if i call the same posts twice in a day?
Second question is the one im bent on
@kanupriya_chhabra1 I can see so many potential use cases for @Mindcase and I love the pay-as-yo-go model rather than an ongoing subscription. Best of luck with the launch.
Mindcase
@codeandseaΒ Thank you Brent. Subscriptions felt wrong for something this bursty. Most teams pull hard for a week, then go quiet, and paying for idle months makes no sense. Prepaid wallet, no seats, no minimums, you pay for rows you actually collect.
Mindcase
Hey PH π
I'm Kritish, cofounder of Mindcase.
We didn't set out to build a web data platform. We were just trying to get reliable data into the AI products we were building.
But getting data from the web turned out to be a lot harder than we expected. Scrapers would break, proxies would get blocked, parsers needed constant fixes, and before long, we were spending more time maintaining the data infrastructure than building the actual product.
So we started building what we wished we had. And that became Mindcase.
Mindcase is a web data API for AI agents - one API call in, clean structured data out.
You pick an agent, send it your inputs, and Mindcase handles everything in between: collection, rotating infrastructure, anti-bot, retries, scaling, and parsing.
Today, you can choose from 75+ ready-to-use agents across LinkedIn, Amazon, Google, Instagram, TikTok, YouTube and more.
A few things we're particularly excited about:
One API across sources β switch from linkedin/profiles to amazon/products without rebuilding your pipeline
Built for developers β Python & Node.js SDKs
Pay only for what you collect β prepaid wallet, no seats, subscriptions, or minimums
Transparent pricing β $0.06β$20 per 1,000 rows depending on the agent
No scraping infrastructure to manage β that's our problem, not yours
We're two founders from IIM Ahmedabad, building Mindcase with a small team and sweating the reliability details so you don't have to. It's built for teams using web data to power AI agents, lead generation, enrichment, market intelligence, e-commerce, research, data pipelines, and more.
And since we're launching on Product Hunt, we're giving 100% bonus credits on every credit purchase for the next 24 hours.
π Get your first call free + claim the 100% bonus on all our pricing plans: https://mindcase.co
We're going to be in the comments all day. Ask us anything, tell us what you think, or tell us which platform you'd like us to build an agent for next.
Really excited to finally share this with PH. π