Thordata

@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.

@carlvert Thank you for your keen insight! This is precisely the reason we founded Thordata—as AI teams scale, they are often constrained by the stability and trustworthiness of their data infrastructure. We aim to provide reliable, scalable data collection proxies, allowing teams to focus more on their models and business, rather than constantly battling bottlenecks in data acquisition.

We look forward to growing alongside more AI teams. If you or anyone you know has relevant use cases, feel free to reach out anytime. We will continue to iterate and strive to be the "invisible yet indispensable" data foundation for everyone.

@carlvert Thordata will continue to deepen its efforts in availability, coverage quality, compliance, and security. We welcome you to stay tuned, and if you have any scenarios or feedback, we are always open to discussion. Let's advance every step of AI implementation together.

@carlvert Thanks so much! Trust and predictability are exactly what we focus on as teams scale.

@carlvert That trust piece is huge. If the data layer isn’t predictable, everything downstream becomes painful — models, analytics, even planning. Tools like this really matter as teams scale.

@luke_pioneero Welcome to the club! As a fellow former "DIY proxy" builder, I know exactly the pain — the constant maintenance, the sudden blocks, the time spent not on intelligence but on infrastructure. Hearing that Thordata is worth it for your daily competitive intel means the world to us. That’s the whole reason we built this: so experts like you can focus on insights, not on keeping proxies alive. Really appreciate you sharing your perspective.

@luke_pioneero That’s a powerful endorsement, especially coming from someone who’s been in the trenches. Managing your own proxies gives you a real appreciation for reliability and scale—something we’ve poured everything into solving.

@luke_pioneero Thank you, feedback like this is exactly why we built Thordata. It means a lot coming from someone who knows the pain of maintaining proxies firsthand.

@luke_pioneero That’s a great endorsement.
Anyone who’s built their own proxy stack knows how quickly “DIY” stops scaling — glad this is working well for you.