我们通过提供无风险的套利机会，迅速积累到了450颗星。
我维护着 pmxt.dev，这是一个开源的统一预测市场 API（如 Polymarket、Kalshi 等）。我们基本上构建了“预测市场的 ccxt”。
我们目前获得了大约 450 个星标和 3 万次下载。我们在这个领域已经成为标准。Limitless.Exchange 对我们表示支持，ccxt 的创始人甚至给我们的仓库点了星。
我们的成功之处在于：我们没有采用传统的营销方式，而是专注于“实用营销”。我们发现了市场之间的无风险套利机会，编写了脚本来利用 pmxt 捕捉这些机会，并将开源代码发布在 r/algotrading 上。基本上就是“这是免费的 alpha -> 你需要这个库来运行它 -> 下载 pmxt。”
这个策略为我们带来了第一波零售算法交易者，但我们似乎已经达到了瓶颈。我们似乎已经耗尽了“零售算法”人群。我们希望进入下一个层次：成为更大玩家的关键基础设施或扩大市场份额。
我想问 HN 的问题是：对于那些将小众开源开发工具扩展到“初始吸引力”阶段以上的人：
1. 我们是否继续吸引零售人群？（例如，提供更复杂的策略，更多“赚钱”脚本？）
2. 还是我们应该转向“企业”功能？（例如，专注于延迟、可靠性和机构文档？）
3. 这只是市场规模的问题吗？预测市场现在是否太小，无法支持一个 1000+ 星标的库，我们是否应该等待行业的发展？
感谢您的见解。
https://github.com/pmxt-dev/pmxt
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I maintain pmxt.dev, an open-source unified API for prediction markets (Polymarket, Kalshi, etc.). We essentially built "ccxt for prediction markets."<p>We’ve hit ~450 stars and 30k downloads. We are currently the standard in the space. Limitless.Exchange endorsed us, and the founder of ccxt has even starred the repo.<p>What worked: Instead of traditional marketing, we focused on "Utility Marketing." We found risk-free arbitrage opportunities between markets, wrote scripts to capture them using pmxt, and posted the open-source code on r/algotrading. Basically, "Here is free alpha -> You need this library to run it -> Download pmxt."<p>That strategy got us the initial wave of retail algotraders, but we've plateaued. We seem to have exhausted the "retail algo" crowd. We want to break into the next tier: becoming critical infrastructure for larger players or expanding the pie.<p>My Question to HN: For those who have scaled niche OSS dev tools past the "initial traction" phase:
1. Do we keep feeding the retail crowd? (e.g., more complex strategies, more "make money" scripts?)
2. Or do we pivot to "Enterprise" features? (e.g., focus purely on latency, reliability, and institutional docs?)
3. Is this just a market cap issue? Are prediction markets just too small right now to support a 1k+ star library, and we should just wait for the industry to catch up?<p>Thanks for the insight.<p>https://github.com/pmxt-dev/pmxt