{
  "id": 16439735,
  "title": "too lazy to post too obsessed with building so built slothgram, one Dev one Psot🦥",
  "url": "https://urgent.news/2026/10/25/too-lazy-to-post-too-obsessed-with-building-so-built-slothgram-one",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-25T06:29:10.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/itsadityasingh/too-lazy-to-post-too-obsessed-with-building-so-built-slothgram-one-dev-one-psot-492a"
  },
  "original_language": "en",
  "account": "This submission for the Hacktoberfest Open-Source AI Challenge Week 3 is titled Slothgram: ONE DEV ONE POST. The builder crafted a tool that enables developers, students, and open-source contributors to create and publish posts to various developer communities with ease. Instead of struggling with repetitive writing and platform-specific formatting, users write the post once and then generate tailored versions for each destination (X, LinkedIn, DEV.to, GitHub). The tool handles character limits, hashtag counts, and other platform-specific requirements. It uses an open-weight AI model running locally on the user's machine to generate the content, ensuring data privacy and no per-token costs. Temporal handles each destination as a separate, retryable, independent job, with a user-approved workflow to prevent duplicate posts. The demo runs in the browser with simulated publishing, allowing users to preview the process without actually posting anything.",
  "summary": "This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady What I Built Slothgram: ONE DEV ONE POST. You ship something, then open four tabs, rewrite the same update four times, pick hashtags, and publish one platform at a time. Slothgram turns that into one step: write the update once, get a separate version for each destination (X, LinkedIn, DEV.to, GitHub),…",
  "key_points": [
    "Slothgram simplifies posting to multiple developer communities",
    "AI model generates content locally for data privacy",
    "Demo runs in browser with simulated publishing"
  ],
  "editors_take": "Automating platform-specific formatting through local AI models reduces the friction of cross-platform engagement for contributors who want to maintain a presence without the burden of repetitive manual writing.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}