Reddit & News Reply MVP
Publicada el 2026-07-18
Descripción de la oferta
I need a lean MVP that automatically hunts for conversations where my web app can be mentioned in a helpful, brand-building way. The workflow is straightforward: 1. Crawler • Scan Reddit plus Google News (blogs and articles surfaced). • Harvest threads and comments. 2. AI Scoring • Rank each conversation primarily on its relevance to the app and the overall popularity of the post or thread. • Ignore low-signal chatter; keep only high-potential mentions. 3. Drafting Replies • Use an LLM to generate a concise, promotional reply that feels organic and value-adding, not spammy. 4. Dashboard Review • Queue the top-scoring replies in a simple web dashboard. • I must be able to edit any draft before it goes live and quickly filter or sort the queue (by score, subreddit, date, etc.). After approval, publishing back to Reddit is required; auto-posting to blog comment sections or other sources can wait until a later phase. Brand awareness is the driving metric, so analytics are “nice to have” but not mandatory for this first milestone. Tech stack is your call—Python with PRAW, BeautifulSoup, and an OpenAI or similar API would work fine—but keep it modular so more sources and scoring signals (sentiment, performance analytics) can plug in later. Deliverables • Source code with clear setup instructions • Deployed MVP accessible via a secure URL • Brief hand-off doc outlining how to extend sources or scoring rules Acceptance criteria ✓ Finds at least 80 relevant Reddit threads and 20 Google News items during a test run ✓ Produces AI replies for each, sorted by score in the dashboard ✓ Lets me edit, approve, or reject and then publishes approved replies back to Reddit without errors
Skills
Fuente original: freelancer