PH热榜 | 2025-12-26

@cao_kevin Hey Kevin! You emphasize compliance as a design principle, not a feature. How do you help AI teams operationalize that compliance day-to-day, for example, monitoring drift in target sites’ policies or regulations without slowing down long-running data pipelines?

@cao_kevin quality product concept! Have you thought about adding a data classification aspect to the product? I have a platform where you could crowdsource and distribute the microtasks if you have models that require additional human verification of the classification. Good luck with the product launch and let me know your thoughts! Cheers

@cao_kevin Good work on your platform

@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.

@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.

@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.

@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.

@dubd59 Thank you for that insightful observation—you're right. The pace of change, especially with AI, is relentless. That's precisely why we built Thordata not as a rigid tool for today's specific problems, but as fundamental infrastructure.

Infrastructure adapts. Whether you're feeding an AI model, building a marketplace, or powering a design tool—the need for clean, reliable, and compliant access to real-world data is a constant. We focus on solving that timeless, foundational problem so that you can build whatever comes next, with confidence.

The goal isn't to never become obsolete; it's to be the resilient layer that ensures whatever you build on top of us never does.

@jeffrey_claxton We handle the infrastructure, so you can focus on innovation. That "set-it-and-forget-it" reliability is what we're here to provide.

@anya_furnishd Thank you so much for this incredibly thoughtful perspective. You've beautifully articulated a vision we hold deeply: that robust data infrastructure shouldn't just exist for "tech" in the abstract, but to empower all disciplines—including and especially creative ones like yours.

@pasha_tseluyko Thank you for the congratulations and for asking this important question.

While our infrastructure naturally serves demanding enterprise use cases, Thordata was fundamentally built for any serious professional or team whose work depends on reliable data. We serve individual developers, growing startups, and large corporations alike—anyone who views data integrity as critical and values a "set it and forget it" solution.

@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.

@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.

@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.

@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.

@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.

@victorzh Thank you for this precise summary — this has indeed been our core design principle from the very beginning: not to offer short-term fixes, but to provide support for sustainable, compliant data pipelines. Global coverage and elastic scalability are just the foundation; what matters more is enabling teams to fully trust the stability and compliance boundaries of their data sources in long-term projects.

We look forward to collaborating with more teams like yours who prioritize long-term architecture, and we welcome continued dialogue. If you have specific scenarios or needs in building your data pipelines, we are more than happy to provide tailored support.

@victorzh We are currently refining best practices for long-term data pipelines together with our early customers, and we would greatly value your thoughts and insights in this area. Let's build a more resilient AI data ecosystem together.

@victorzh Thanks!
We strongly agree — long-term pipelines only work if compliance is designed in from day one. For us, it’s not an add-on but a core architectural principle.

@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.

@yuanhao1 Hey! Intent-driven curation is compelling. How do you prevent a curator from becoming an echo chamber over time, while still respecting the user’s intent and avoiding the noise they explicitly want to filter out?

@pasha_tseluyko You’re absolutely right. We’re actively working on making the AI’s filtering more transparent - including letting users see what was filtered out and recover anything that was mistakenly dropped. The goal is to give users more control and let them teach the AI over time.

@rocsheh Thank you so much 🙏
Information overload is exactly the problem we’re focused on solving.
Great call on the browser extension. It’s on our roadmap. We’re also actively expanding source coverage across web, social, and long-tail content.
Would love to hear how you’d use nbot in your own workflow!

@cruise_chen Thanks Cruise!

@knox_landry Definitely! Improving the reading experience is a big focus for us going forward.

@lisa_helicopter_l Exactly 😄 Curators don’t sleep.

@jianqiang_hao  Hope it helps you make better, faster decisions. Hopefully better returns too 😉

@vermouth2333 Thanks! We spent a lot of time iterating on prompts and editorial guidance to get that tone right.😄

@yuanchen_wang Thanks so much for trying nbot. This really means a lot to us 🙏

@zephyrlink_i Exactly! We’re excited to see how teams end up sharing and collaborating around curators.

@zephyrlink_i That’s great to hear. Helping insights move from “interesting” to “shared” was a big reason we built this!

@jayzhu Thanks for your question. Each curator has its own isolated, accumulative context and memory. When you refine or add topics, the system builds on what it has already learned instead of resetting it. This allows curators to get more accurate and personalized over time, rather than starting from scratch after each update.

@vouchy There were many moments like that. One that stood out was realizing how differently people feel about the same topic, even when it looks identical on the surface. Traditional recommendation systems are great at predicting popularity, but much worse at understanding individual preference and intent.

@hehe6z Thank you so much Helena!

@hehe6z Thank you so much! Really appreciate the support. 🚀

@jeffrey_claxton Thank you so much Jeffrey - really appreciate your support! ❤️

@e_reder Thank you so much! It’s incredibly rewarding to hear that you see exactly what we’re aiming for-an AI-first approach to curation. I’m immensely proud of the team’s dedication to keeping standards high and moving fast. Cheers to building the future of content together! 🚀"

@ethan_zheng Thanks Ethan!

@anishsharma Thank you! We’re still actively improving nbot’s curation algorithms and would really appreciate your feedback as you try it out.

@abod_rehman Thank you! We’re really looking forward to your feedback.

@joey_zhu_seopage_ai Yes!

@joey_zhu_seopage_ai Exactly why we built NBot! 🚀 We want to end the 30-tab exhaustion once and for all. You can even add specific links to your customized feed so NBot tracks your niche interests with way more precision than a standard app toggle.

@nikita_40in Thanks!

@coin_red Thanks!

@shawnzhu Multimedia understanding is a natural strength of LLMs. We don’t yet expose explicit controls for it, but that’s coming. Interestingly, if you create a curator in a non-English language, summaries often come back in that language automatically.

@pany_ai Glad you like it! Due to cost constraints, podcast updates are currently available for paid users, but we’d love to make this accessible to more users over time.

@eeeeeach Thanks!

@mooyan Natural language is our biggest bet!

@yuki1028 Love that 😄 Curious what you ended up sharing?

@new_user___1282025165cc92287e7a197  They even get better the longer they run!

@juannikin Huge thanks for the support and for diving in with 3 curators already - that’s awesome to hear! 🚀 You hit the nail on the head; Yes, API is definitely on our roadmap. We want NBot to be the 'intelligence layer' for your existing tools, not just another destination. We'll make sure to update the community as we get closer to those releases. What would be your #1 use case for an NBot API?

@vik_sh Hi Viktor,

You have captured exactly what Clarity is about. I use it primarily to optimise for mental performance, but physical performance is still important to me too.

The core question I keep asking myself as I refine Clarity is - am I answering the 'So-what's' when it comes to caffeine intake.

To answer your question, Clarity intelligence V2 is in development as we speak. There will be a more pro-active approach to the insights!

I have some very cool partnerships coming along too!

@busmark_w_nika Hi Nika,

Between you and I, that’s already in the works!

It would be worth checking clarity out, caffeine may creep into other things that you didn’t even realise!

@anishsharma yes, tubeletter uses html style tags to format the newsletter so it looks great and is easy to read. Here is an example. You can also change the “Voice” of the reporter so the newsletters comes in a format you’d prefer.

@bluehatkeem CONGRATS ON THE LAUNCH!

@busmark_w_nika better late than never 😆 !

@abod_rehman Thank you. Learning the third language right now :-)

@pasha_tseluyko I will release web app soon, very soon :-)

@lena_btw Thanks for sharing! Your perspective highlights a use-case we hadn’t explored—empowering visitors to plan their experience safely. It’s exciting to see how the POC could benefit both attendees and organizers!

@peter_sibirtsev 
Nice experience so far — especially for short-form content.
The one-click MP3 + SRT export is great.

One thing that could be cool in the future is presets for Shorts (speed, tone, emphasis), but overall it already saves a lot of time.

@kshitij_mishra4 
Appreciate it! 🙏
We designed VocalLab.ai with Shorts workflows in mind — fast generation, no watermarks, and MP3 + SRT in one click.

@meshin 
Thanks, Dmitri! 🙌
Happy to hear it was easy to use — really appreciate the recommendation!

@abele_wickware thanks Abele!

@almuddin_ansari Nice!! send me an email if you plan to implement Hundred Docs API: cgonzar3@gmail.com

@lanfranco_iwanaga totally! that's my goal, removing friction and making it easy. Thanks for your comment!

@baris_korkmaz 👍🏻🚀🚀

@misba_ansari Its a genuinely good review.
thank you.

@kartik_labhshetwar Glad You liked.

@fkadev Thank you buddy 🙏

@rashiaroraofficial Thanks for your honest feedback. 😊

@serialbus This is a great example of AI actually removing friction instead of adding novelty. Being able to visualize styles from your own space changes the entire decision process. It is no longer abstract or Pinterest-driven guessing.

What stood out to me is how it helps you discover furniture and layouts you would never search for intentionally. That is where AI really shines. It expands taste, not just speed.

We see a similar pattern with Curatora. When curation is done well, it surfaces ideas you did not know to look for, which often leads to better outcomes than starting from a blank page.

Very cool use of AI for a real, everyday problem.

@hufozhu This feels genuinely charming. Turning small, everyday joys into something tangible and warm is a lovely idea, and the crayon style gives it real emotional texture instead of feeling overly polished or synthetic.

I like how simple the interaction is too. One thought in, one illustrated memory out. That makes it feel more like a personal ritual than a tool.

We see a similar dynamic with Curatora. When ideas are captured and presented with care, they become something people want to revisit, not just scroll past and forget.

Really nice concept. It is easy to imagine people building a little archive of happiness over time.