The Influencer AI – consistent AI "models" for photos and talking video

Hacker News

Hi HN, We’re a two‑person team (Anika & Zeeshaan) and we’ve spent the last 8 months building The Influencer AI: https://www.theinfluencer.ai What it does: Spin up a consistent AI persona from either a handful of trait sliders or ~10 photos of a real person (yourself, a model, a client). Use that same "AI influencer" to generate: - photos & virtual try‑ons - talking‑head video reels (image‑to‑video + voice) -ad creatives in any pose, setting or style. All assets come with full commercial rights. How it works under the hood: Frontend: Next.js 15 (static where possible) Backend / Auth: Supabase Replicate/FalAI for AI models Pricing / free tier Plans: $19, $39 (typical), $99 per month. Looking for feedback on Does “one consistent AI person” actually solve a pain you have? Which feature (or price point) would make this a no‑brainer? Any red flags in UX, copy, or tech stack decisions? Happy to set anyone up with extra credits for testing and answer questions. Thanks for reading, and would love to hear any thoughts.

Visit product View on Hacker NewsJul 22, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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TrustMRRLess likely to generate early MRR · Strong signals: video, month · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

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nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

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BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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