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inDM turns Instagram comments, story replies and DMs into conversations, followers and sales — automatically.

Create ChatGPT Application in seconds

Website, pricing, platforms and company facts side by side.
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| Website | indm.social | open-gpt.app |
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| Company | Startup from India · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.


inDM is Instagram-first DM and comment automation for creators and marketing-led businesses. The problem it solves: when a post takes off, the comments, story replies and DMs become impossible to answer by hand — and every unanswered one is a follower, lead or sale that slipped away. inDM answers...
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As answered by people managing inDM and https://open-gpt.app/.
inDM's answer
Automations attach to your real posts, reels and stories with a live DM preview — not an abstract flowchart — so your first one is live in about three minutes. inDM does one thing, turning Instagram engagement into growth, and it runs on Meta's official Instagram API as an approved Meta Tech Provider — you connect with Instagram's own login, so no passwords are shared.
inDM's answer
inDM is built for creators, not sales-ops teams. It does one thing — turn Instagram engagement into growth — and makes it feel effortless: automations attach to your real posts with a live preview, so your first one is live in about three minutes. There's one flat plan you can hold in your head: a free trial with 1,000 DMs and no card, then Growth at $9.99/month for 10,000 DMs. And the voice stays honest throughout — clear limits, honest empty states, no dark patterns.
inDM's answer
Creators and marketing-led businesses on Instagram. The beachhead is newer creators — from about a thousand followers up — who post consistently and want to grow without living in their DMs. If one reel can earn comments, one automation can turn them into conversations, followers and sales. It's just as at home with ecommerce and creator-brands that convert from content.
inDM's answer
inDM started from a simple observation: when a reel takes off, the flood of comments, story replies and DMs is impossible to answer by hand — and every missed one is a follower or sale that slipped away. The idea was to answer all of it instantly, in the creator's own voice, working from their real posts rather than an abstract flowchart. It's built on the same production-grade Go, NSQ and Redis stack the team already runs at scale, so the engine is reliable from day one. The name reads two ways — "in the DM", where the product lives, and "in demand", the outcome every creator wants.
inDM's answer
A Go backend with an event pipeline on NSQ and Redis, Supabase (Postgres) for data, a Next.js static-export frontend, and AWS (S3 and CloudFront) for hosting. It integrates directly with Meta's official Instagram Graph API.
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