Thordata
Fuel AI training with high-quality, scaled data via proxies
440 followers
Fuel AI training with high-quality, scaled data via proxies
440 followers
As AI training and real-time applications accelerate, high-quality data has become a critical bottleneck in the age of artificial intelligence. Thordata provides residential, mobile, and data center proxy infrastructure for AI teams and data-driven businesses, enabling reliable global web data collection, responsible regional access, and smoothly scalable long-term data pipelines. From the very beginning, Thordata has focused on performance, stability, and compliance.
Surgeflow
🎉 Congrats on the launch, Kevin @cao_kevin & Thordata team! As an AI product lead, I’ve seen so many teams struggle with messy, unstable web data pipelines — Thordata looks like a much-needed solution, especially with compliance built into the design from day one. Love the focus on sustainable, production-ready data for AI workflows.
⚡ The proxy infrastructure for long-running pipelines sounds promising!
One small suggestion: maybe consider adding more detailed visibility into regional IP coverage and success rates per domain (via a dashboard or API metrics). That would help data teams fine-tune collection strategies faster.
Excited to see where this goes! How do you handle dynamic sites with heavy anti-bot protections? 🙌
Thordata
@rocsheh Thank you so much for this thoughtful and detailed feedback — it truly means a lot coming from an AI product lead who understands the real-world pain of unreliable data pipelines.
You’re spot on: compliance and sustainability aren’t afterthoughts for us, they’re foundational. And we’re glad the focus on production-ready proxies resonates.
On your excellent suggestion about regional IP coverage and success-rate visibility: we completely agree. We’re already designing a more granular dashboard (and corresponding API endpoints) for domain-level performance analytics — this will help teams optimize targeting and routing in near real-time. I’d be keen to loop you into early testing once it’s in beta, if you’re open to it.
Regarding dynamic sites with heavy anti-bot protections: we combine several strategies — residential & mobile IP pools with realistic browser fingerprints, adjustable request patterns, and integration with headless browsers via tools like Puppeteer/Playwright. The system is built to mimic human-like behavior while staying scalable. We’d be happy to walk you through a case study or set up a technical deep-dive.
Really appreciate you taking the time to share this — it’s exactly the kind of dialogue that helps us build better. Let’s keep the conversation going. 🚀
Thordata
@rocsheh Thanks for the insightful comment. We will collect your suggestions and make improvements.
@cao_kevin @rocsheh Thank you for the thoughtful feedback — really appreciate it.
You’re absolutely right about visibility. We already expose regional IP coverage and performance metrics internally, and making this more transparent via dashboard and API-level insights is something we’re actively exploring based on feedback like yours.
For dynamic, heavily protected sites, we focus on a combination of high-quality IP sourcing, session persistence, and adaptive routing strategies rather than brittle, one-size-fits-all approaches. The goal is to keep pipelines stable over time, not just pass a single request.
Thanks again — excited to keep improving this with the community.
@cao_kevin @rocsheh This is a really thoughtful take.
Visibility into regional performance and domain success rates would be super useful for optimization — especially at scale. On dynamic sites, stability and session continuity matter far more than short-term tricks, so it’s great to see the infra-first approach here.
Mom Clock
I need this!
Can the service auto‑extract specific data points (prices, titles, ratings) and return JSON, not just HTML?
Thordata
@justin2025 Great question! Yes, absolutely
Thordata
@justin2025 We've seen teams use this to feed data straight into their databases or ML models without additional parsing steps. If you have a specific site or data structure in mind, I'd be happy to walk you through a quick setup.
@justin2025 Yes, it does. Beyond proxies, Thordata can extract structured data (like prices, titles, ratings) and return clean JSON, so teams don’t need to maintain brittle parsing logic themselves. This is especially useful for training datasets and long-running pipelines.
@justin2025 Yes! that’s actually one of the biggest reasons teams use it.
Getting clean JSON instead of maintaining fragile HTML parsers saves a ton of time, especially once layouts start changing.
Triforce Todos
If the data breaks, everything breaks. I'm happy to see a tool built for long-term use, not just quick wins.
Thordata
@abod_rehman Thank you for that profound insight. You've articulated our core belief perfectly. We built Thordata on the principle that data integrity is non-negotiable, and that true infrastructure is built to last, not just to work today.
@abod_rehman Well said. Sustainable data pipelines were the starting point for Thordata.
@abod_rehman This hits the nail on the head. Once data becomes a dependency, stability matters far more than short-term wins
congrats on the launch! data quality is often the real bottleneck, and this feels built for teams operating at scale. curious how you approach reliability as usage grows?
Congrats on the launch. Love the clarity around serving AI teams with performance-first infrastructure, while still keeping stability and compliance at the core of responsible data collection.
Thordata
@rachit_nigam I appreciate you highlighting that balance — it's exactly the challenge we built Thordata to solve. For AI teams, performance is pointless without reliability, and scale is risky without compliance. We're committed to providing that responsible foundation. If your work involves data collection for AI, I'd be keen to hear about your use case and how we can support it.
Video Roll
I’m very excited to see another AI-related product being launched. In such a highly competitive era, I believe any product that is willing to invest effort and persist in AI is worth giving a try.
Thordata
@gxy5202 Thank you! This is exactly the energy that fuels us.
Thordata
@ramesh_cool_foru That's a crucial question that gets to the heart of building effective AI. Thordata provides real-world web data, which is fundamentally different from synthetic data, but in a way that makes them perfect complements, not competitors.
In short:
Thordata delivers the authentic, messy, and nuanced reality of the web as it exists today—prices, reviews, articles, and market trends from actual websites.
Synthetic Data is algorithmically generated information designed to mimic the statistical properties of real data, often used to fill gaps, protect privacy, or simulate rare scenarios