Postiz
AI-планировщик для соцсетей. Управляйте постами, наращивайте аудиторию, собирайте лиды и растите бизнес с помощью ИИ. Open-source.
Simple Analytics
Google Analytics с фокусом на приватность. Простая и понятная аналитика без cookies, полностью совместимая с GDPR. Тысячи компаний по всему миру уже используют.
Angel Match
База данных из 110 000+ бизнес-ангелов и венчурных инвесторов. Экономьте время на поиске инвесторов — находите подходящих по отрасли, стадии и локации.
SuperX
Растите быстрее в X благодаря скрытым инсайтам и аналитике. Понимайте свою аудиторию, улучшайте контент и ускоряйте рост — всё в одном месте.
DataFast
Аналитика с фокусом на доход. Узнайте, какие маркетинговые каналы приводят клиентов. От первого клика до покупки — понимайте, откуда приходят деньги.
Calendesk
Софт для онлайн-записи. Не тратьте время на согласование встреч — автоматизируйте запись, оплату и управление клиентами. Для терапевтов, коучей, юристов и сферы услуг.
Capgo
Мгновенные обновления для Capacitor-приложений. Выпускайте исправления за минуты, а не недели. Отправляйте OTA-обновления пользователям без задержек App Store.
OpenAlternative
OpenAlternative — каталог open-source альтернатив проприетарному софту. На сайте собраны проекты из разных категорий с информацией о возможностях, стеке технологий и метриках GitHub. Платформа монетизируется через платные размещения и партнёрские ссылки.
Changelogfy
Принимайте лучшие решения и создавайте продукты на основе обратной связи. Единая платформа для сбора фидбека, приоритизации roadmap и публикации обновлений.
Transfer.zip
Самый простой способ отправить файлы. Отправляйте 100 ГБ+ бесплатно — без лимитов, данные зашифрованы. Быстрый и безопасный обмен файлами.
TV Explorer. Adding advanced UI to free online TV
Show HN: TV Explorer. Adding advanced UI to free online TV
Integuru
Hey HN! We’re Alan and Richard from Integuru (YC W24). We generate fast, reliable integrations for platforms lacking official APIs. About 2 years ago, we released the first agent that reverse-engineers network traffic to build integrations (https://github.com/Integuru-AI/Integuru). Since then, we’ve developed a new approach to reverse-engineer platforms’ source code directly. This solution also includes authentication support. Here’s a demo: https://youtu.be/4l2L8fILC2g?si=nbWbDiFrWZIWRPM7. Many AI products need to integrate with web apps, but platforms often lack official APIs. So far, there are two main ways to integrate: browser automation and via network requests. We set out to build the original agent because we ourselves suffered from RPA’s latency, reliability, and throughput issues. The original agent solved many of the prior issues, but it wasn’t perfect either. The original agent did things the obvious way: (1) have a human do the action; (2) the agent observes the network requests and (3) recreates them. That got us far, but it only supported the path the user triggered. In production, we saw all the uncovered cases: different states, missing fields, permission differences, hidden validations, and request changes we could never catch in a single run. So we started building a new solution from the ground up. Our first step was to add agents that trigger many variations of the same action. To protect the platform’s data integrity, we added a gating layer that blocks outbound requests. This lets us observe the exact request structure, branching behavior, and platform logic without accidentally mutating the live system. But this still wasn’t enough. Some logic is hard to surface by execution alone. A lot of the business rules live in the frontend bundle. So we set out to analyze the true “answer sheet” for each platform: the source code. After experimenting, we got this working. We built a source-code analysis layer that deobfuscates and traces the code associated with each action. In practical terms, our system can handle most tricky edge cases without triggering all flows. Together, these two layers result in much better coverage of the production surface area. They support more edge cases, fail less often, and avoid a lot of the brittle one-off fixes that usually come later. Finally, we added auto-healing and API doc generation to improve reliability and the UX. We also offer a 24/7 on-call maintenance team for companies on the production plan. We now spend most of our time supporting vertical AI companies and helping them connect to their customer systems. We offer a free plan for integrating with one platform and charge for additional platforms, accounts, and overage API calls. For instance, we help healthcare AI companies connect to EHRs and payer portals, and logistics companies connect to TMSs and ERPs. Some companies are now running more than 1M monthly requests per platform. Across our production users, API calls complete in ~3 seconds at 99.9%+ success rate on average. We’re also building a library of APIs that users can use out of the box. That said, this version still has limitations we want to iterate on. Although we already tackle some anti-bot mechanisms, the agent still struggles to generate integrations with heavily anti-botted platforms. When the agent fails, our on-call team steps in to improve the agent or build the integration manually if the customer requests it. Also, the UX for generating an integration is still quite manual. Our next step is to build a CLI experience, so people and their agents can create, test, and use integrations in a much more flexible manner. This also prevents humans from having to wait for Integuru to finish its tasks. We want to one day allow developers and agents to integrate with all platforms instantly. Integuru is an ongoing effort. We’re passionate about automating integrations and would love your feedback!