Creator OS
Stop missing comments on Instagram.
118 followers
Stop missing comments on Instagram.
118 followers
AI thumbnails, video pipeline, brand deals, pitch pack, analytics & integrations — the all-in-one platform for YouTube, Instagram & Twitch creators. Plans from $4.90/mo.
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Hi, Congrats for the launch.
I wanted to know if this could also help the brands to find out the creator types that they might want to have to collaborate with or help the creator to find the brands that they might reach out to as per their content ?
@shubham_arora10 Great question! This possibility is already on the roadmap! It's one of the next steps; currently, companies can contract services, but they don't yet have a login system.
This aspect is also very important; it won't be long, I'm already in the development phase.
Thank you so much for your support ❤️🫂
The native Instagram notification feed becomes impossible to manage once a reel gets any real traction. I wonder if you are relying on the official Graph API to pull these in real-time or if you had to build a custom scraper. An automated filter that specifically surfaces comments containing questions would make this a total no-brainer.
@y_taka Great question. The honest answer is: we’re using the official Instagram/Meta stack, not a custom scraper.
Real-time events come in through Meta webhooks, and we supplement that with Graph API syncs for profile, media, and insights. So under the hood it’s closer to an official event-driven integration than a scraping-based workaround.
That said, I wouldn’t describe the current product as a full replacement for Instagram’s native comment notification feed yet. Right now, the strongest part of the system is automation around incoming comments and DMs, rather than a dedicated high-volume comment triage workspace.
On the “surface comments that contain questions” idea: I agree that would make the product much stronger. Today the filtering is more rule-based than semantic. We can match keywords and run workflow conditions on comment text, but there isn’t a first-class “question detection” layer yet. It’s a very logical next step, though, because the event pipeline is already there.
The problem is real. Comment windows on Instagram are tiny and the algorithm rewards early engagement heavily. Does this work across multiple accounts or is it tied to one?
@prashant_1234 Yes! It's excellent for engagement and marketing! Currently, we don't have the option to connect multiple accounts!! But that's a matter of infrastructure; I hope to have the capacity to connect multiple accounts soon!
And thank you so much for your support ❤️
Nice work. The problem of missing engagement windows on Instagram is real, especially when you're managing multiple accounts or a team is replying on your behalf. Curious how Creator OS handles the handoff between the creator and a VA or social media manager, does it support multiple users in the same comment queue?
@thomas_quarre1 Thank you for your support!
Regarding being an assistant or something similar, it's not a 100% autonomous process like "a DM arrives and the Agent decides to respond." We work with automated triggers for comments on posts, etc., until it reaches the DM! Currently, the user can connect one account, and we manage background queues to ensure none are lost in the process, maximizing the conversion of these comments into customers for the Creator.
Why did you decide on YT, Twitch and esp Instagram? I think that YT and Twitch are the same category, but whatIG?
@busmark_w_nika My focus was solely on YouTubers! But Twitch was easy to integrate, so implementing it was cost-effective!
Regarding Instagram, I noticed that many creators still create pitches in Canvas, and they also struggle with automations, such as sending links, etc., via DMs based on a Reel comment! Today, many want this type of automation, but end up wanting to create it themselves, and there's this Metacritic bureaucracy. I created something simple that only requires one click; just connect two automation nodes and you're done! A good portion of Instagram creators are also on YouTube. Today, in the system, all three options are optional! You connect the one you find best for your pipeline and your daily routine.
Today, our clients can create dedicated pitch pages for companies to hire their services, and the creator can create payment links, etc., without even leaving the system! And the page will always remain updated with real data.
@jonhvmp But taking into account that many TikTok people create videos (Shorts) and YT shifted to them, isn't there also an option that TikTok will be integrated too?
@busmark_w_nika Great question! Although there's no TikTok login option, the system can be adapted to TikTok in terms of daily productivity.
Regarding data, I prefer to use Regarding data, I prefer to use official connections, so since I don't yet have developer access, I'm just waiting to be able to integrate them.
Regarding TikTok, I see more potential in automation, particularly in relation to comments; I believe it has a lot of potential.
Congratulations on the launch! Can it recognize spam?
@natalia_iankovych Thank you! And regarding recognizing spam, are you talking about avoiding being banned for spam? Yes.
If it's spam from users on Instagram, we handle that in the background to avoid denial of service.
feeding a reference URL to extract visual DNA instead of describing a style from scratch. that's the part I've been doing manually for too long.
@jiang_nancy I'm so glad to hear your comment!! It's a sign that I'm on the right track!
During this pipeline process you're working on, is there any annoying part that you still feel is stuck?
@jonhvmp the part that's still stuck is closing the loop. generating thumbnails fast is solved, but knowing which one actually drove clicks — and feeding that back into the next batch — still manual.
@jiang_nancy That’s exactly the gap I’m focused on now.
Right now Creator OS already handles the front half well: you can feed a reference URL to extract the visual DNA, generate fast variations, and pull real channel analytics like CTR when YouTube is connected. We also surface top-performing and underperforming videos.
But you’re right: the last step, automatically feeding “what actually won” back into the next batch, is still too manual. That’s the part I’m building toward, because that’s where a thumbnail tool stops being a generator and starts becoming a real optimization system.
Out of curiosity, when you close that loop manually today, what do you trust most: CTR alone, early velocity in the first 24h, or watch time after the click?