
Anyone else running into issues with stable data access for AI tools in business. I’ve been building some internal automations for market research and data collection from public sources. Everything works fine in the prototype stage, but once the load goes up I start hitting blocks, rate limits, and unstable API responses. Not sure if this is normal or if my setup is off.
I’m also unsure about using proxies and IP rotation for this kind of thing in a long-term business setup. I’ve tried a few options and some are either unstable or add enough latency to break the pipeline. I even came across https://froxy.com/en while looking into more stable proxy options, but I’m still debating if that’s actually the right direction or just extra complexity instead of better caching and API design. Curious how others are handling this in production?