Ask an AI to "give me feature ideas" for your product and you will get the same list every time: automation, a recommender, a reminder system, a dashboard. These AI prompts for indie hackers are built for the solo founder, indie developer, or lone PM/designer who does not have a team to push back on that list, so the prompt does it instead: pulling your actual product state, users, and constraints before it generates anything.
The ideation is deliberately wide first (a real diverge step tied to actual user pain, not generic feature tropes), then it plays the design partner you do not have and cuts the list down to what is genuinely worth building next. Works with ChatGPT, Claude, and Gemini.
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Stops the useless 'give me feature ideas' output that always lands on automation, recommenders, reminders and dashboards. Forces the AI…
Because "give me feature ideas" with no context pulls from the most common SaaS feature tropes in its training data: automation, dashboards, reminders, recommenders. It has nothing specific to diverge from. Giving it your actual product, users, and known pain points first is what gets it past the generic list.
Explicitly ask it to play a skeptical design partner, not a cheerleader: tell it to push back on weak ideas, ask what problem each one actually solves, and argue for cutting anything that does not tie to real user pain. Left unprompted, most models default to validating whatever you propose.
Yes, once you have a wide list: ask it to score each idea against your actual constraints (time, technical difficulty, how directly it addresses user pain you have evidence for) and argue for a top pick. It cannot know your users better than you do, so treat its ranking as a structured second opinion, not the final call.
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