Thordata - Fuel AI training with high-quality, scaled data via proxies

@cao_kevin This is a really strong launch especially the emphasis on compliance as a design principle, not a checkbox.

One thing I’ve seen with proxy + AI data infra at scale is that abuse, fingerprinting, and reputation poisoning often show up long before teams notice them internally especially once customers start running long-lived pipelines and multi-step workflows.

I work on adversarial testing for proxy and data infrastructure (API abuse, bot-detection exposure, denial-of-wallet, compliance edge cases). If it’s useful, I’d be happy to do a free, private stress-test of Thordata’s proxy & API surface and share findings purely as feedback.

Either way, great to see infra being built with sustainability in mind this is exactly what AI teams need as they move from experiments to production.

@sandy_liusy Hi, Kevin here — thank you so much!
You’ve absolutely nailed the core challenge: scaling web data collection for AI isn’t just about “more proxies,” but about reliability, structure, and clean data pipelines that fit into real training workflows. That’s exactly why we built Thordata — not as another scraping tool, but as infrastructure for teams that depend on data to move fast and build intelligently.

We’d love to hear more about your use case if you’re open to sharing. And if you’re testing data collection for AI, feel free to try Thordata — the team’s here to help you run smoothly. 🚀

@sandy_liusy You’re right: production-scale AI data collection brings unique demands — consistency, geo‑coverage, anti‑blocking resilience, and compliance. We designed Thordata’s proxy networks and routing logic specifically to handle those nuances, so engineers and data scientists can focus on their models, not on fighting with flaky pipelines.

@sandy_liusy Appreciate the kind words!
This product came directly from seeing teams struggle once they moved from experiments to real AI workloads. Scaling data reliably over time is hard, and we wanted to build something that actually holds up in production.

@justin2025 Great question! Yes, absolutely

@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.

@orman_canida yes, Thordata supports sticky sessions for multi‑step workflows like checkout simulations, login sequences, and cart monitoring. You can assign a dedicated residential or mobile IP to persist cookies, headers, and session tokens across multiple requests, exactly as a real user would.

@orman_canida Yes, Thordata supports this.

@orman_canida Absolutely. Sticky sessions are available and commonly used by our users for complex workflows where consistency and session continuity really matter.

@orman_canida Yes — sticky sessions are supported, which makes a big difference for multi-step or stateful flows. Without that, a lot of realistic workflows just break down.

@haoran_fok Thank you so much for sharing this fantastic feedback. It's incredibly rewarding for our entire team to hear that Thordata has made such a dramatic impact on your operations. A jump from 40% to 98% success rate overnight is exactly the kind of transformative result we built our residential proxy network to deliver.

@haoran_fok That’s amazing to hear — thank you for sharing real numbers. Reliability at scale is exactly what we optimize for, so seeing that kind of jump in success rate really validates the work the team has put in.

@yuki1028 Thank you so much — coming from someone who has built and maintained their own proxy infrastructure, this means a lot. We built Thordata precisely for experts like you, who know the real cost of “DIY” not just in money, but in time, reliability, and focus. Hearing that it’s become a daily part of your competitive intelligence workflow is the best feedback we could hope for. We’re here to keep earning that trust.

@yuki1028 We really appreciate you taking the time to share this. When users with hands-on proxy experience tell us we deliver better value, it validates the core mission: to turn proxy infrastructure from a time-consuming distraction into a reliable, scalable advantage. If you ever have suggestions from your daily use — whether on features, reporting, or integrations — please don’t hesitate to reach out. We’re committed to making Thordata the obvious choice for teams that depend on data.

@yuki1028 Really appreciate this feedback.
Competitive intelligence at scale is tough, and it’s especially meaningful coming from someone who understands the trade-offs of custom-built proxy solutions.

@yuki1028 Thank you — we really appreciate this. Feedback like this, especially from someone who’s built custom solutions before, is exactly who we’re building for.

@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. 🚀

@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.

@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

@cruise_chen Thank you. This is precisely why we engineered the automation into our system. We believe professionals like you should spend time on analysis, not on maintenance. Your time is your most valuable asset.

@cruise_chen Really appreciate this feedback. We intentionally designed Thordata to remove the repetitive, time-consuming parts of managing proxies.

@cruise_chen Love hearing this.
Reducing operational friction is underrated — teams shouldn’t have to babysit infrastructure just to keep data flowing.