Multify
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Hey IH! 👋
I just launched DeepFrame — authorized deep security assessments packaged for fast-moving teams building web apps.
The problem
Most indie hackers skip security reviews until it's too late (breach, compliance audit, or investor due diligence). Pentests are expensive ($5k-20k+) and slow. Automated scanners miss authenticated logic bugs.
What DeepFrame does
Packaged scopes — pick what you need (auth flows, API endpoints, payment logic)
Plain-language reports — no jargon, just clear findings your dev team can fix
Retest included — we verify every fix before closing it out
Think of it as a "pre-flight security check" before you go live or raise your next round.
Current stage
Just launched publicly
Backed by Shiva + infrastructure partners (NVIDIA, Lambda, AWS)
Looking for early customers to run initial assessments
What I need from IH
Feedback — does this resonate? What would make you actually book a review?
Early users — if you're shipping a SaaS and want a security audit, let's talk
Distribution ideas — where do indie founders look for security help?
Happy to answer questions about the tech stack, pricing model, or how we scope assessments differently than traditional pentests.
Let's build secure 🚀
A creator told me:
“I replied ‘link in bio’ over 200 times yesterday. I wanted to cry.”
That sentence basically became my spec.
I don’t care how “AI‑native” a product claims to be…
if a human is still manually replying “link?” all day, something is broken.
So I built a very simple rule inside my product:
But here’s the catch: if you send the exact same sentence 200 times, Instagram will hate you.
So I used AI in a way that doesn’t burn money (or get people banned):
Example:
Your template:
The system stores 5 versions of that, all slightly different.
You still design the message. AI just makes it look like you’re a human who isn’t bored out of their mind.
The creator who complained about “link in bio hell” now has a new problem:
“I forgot to open the app for 3 hours and everything was already answered.”
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generate once, pick at runtime - that's the right call here. same thing when building agent output pipelines: pre-generate the variation pool, don't burn API budget on every event.
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Really like this approach. Most tools wait for users to take action, but catching them at the right moment is powerful. I’ve seen users leave my site due to small unresolved issues with audio or speakers.
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You’re using AI the right way here, not as the product, but as invisible leverage inside a painful workflow.
Replacing repetitive labor beats adding another “smart feature” every time. -
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Brilliant approach to the Meta spam filter. The idea of generating 5 variations upfront at creation time to avoid per-comment API costs and latency is such a smart move.
I'm building in a similar space of 'automating the awkward/repetitive parts of business' with my SaaS, Caiu, an automated Pix billing tool for Brazilian microbusinesses. Just like your creator was tired of typing 'link in bio', my users are exhausted from manually sending WhatsApp reminders for late payments. We automate that awkward follow-up process. Seeing how you optimized the message variations makes me think I should add a similar randomized 'polite reminder' spinner to avoid sounding too robotic on WhatsApp!
Curious about the Meta integration side: Did you find getting approved for the Instagram Messaging API difficult as a solo dev, or has Meta made that process smoother recently?
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interesting!
I've been a dev for a long time! I always managed to meet the goal, so I found it super easy to get approved and create solutions with them! especially with whatsapp
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What is different to another bot in social network? Your landing page is good but I am clear what offer different than others.
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thanks! We do things differently! You can create automations for Instagram! generate very good thumbnails! You can have a huge increase in productivity in idealization until posting a video! You can also have a complete CRM for deals, receive offers and payments without even leaving the platform!!
Note: We do not take transaction fees between your business and the company!
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This comment was deleted 4 months ago
Creators were asking me: "can I auto-reply comments but not sound like a bot?"
So I built a full workflow engine.
You set a trigger keyword. Then you drag nodes:
Reply to the comment
Wait 2 minutes
Send a DM with the link
Branching conditions, delays, the whole thing.
The spicy part: instead of sending the same reply every time (shadowban bait), AI generates 5 variations of your template once. Runtime just picks one randomly. Zero AI cost per execution.
Been solo on this for 3 weeks. Still can't believe it works.
If you're a creator or manage influencers — what automation would actually save you the most time?
try -> https://usecreator.app
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Thats really good. Specially the 5 post varient cause one reply used a lot can trigger ban easily. Btw I wanna know how this backend work for it like how do you find keywords. Like user connect account then manually add it or like how
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I would love to know what tool you used to translate the website into the following languages: English, Portuguese, Spanish, French, Chinese, Hindi, Arabic, Italian, Russian, Turkish, etc. This is because I'm in the development and implementation phase of an app/website and I need exactly something like this. Can you help me? Thank you.
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Building Instagram automations for creators today goes far beyond simple “reply when keyword detected” setups. The real value comes from creating smart, behavior-based workflows—like automatically segmenting followers based on engagement, sending personalized DMs after story interactions, or nurturing leads through multi-step conversations that feel human, not robotic.
For example, instead of just replying to a keyword, advanced automations can:
Trigger different responses based on user intent
Guide followers through a mini funnel (freebie → value → offer)
Personalize messages using previous interactions
This is especially powerful for creators in visual niches like design or typography. If you're sharing content around lettering or digital art, combining automation with tools like a free online calligraphy font generator can boost engagement even more. You can offer followers instant value—like generating their own styled text—by directing them to a simple tool such as free calligraphy creator within your automated flows.
In short, the best Instagram automations don’t feel like automation at all—they feel like thoughtful, well-timed interactions backed by useful resources.
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In theory, it's very beautiful!! but technically this drains resources, I'm starting out, I don't have the infrastructure or cash to implement something like this, we have to know the limits, as an entrepreneur you think, ask yourself why! try it, but if I were to implement this today it would be completely unfeasible for both the product and my client! imagine several random comments, draining your money in tokens!! Since they started with automations in comments, the CTA of "comment here 'I want' and I'll send you the link" has always worked well. People who want it will respond to these key words! because: they heard and know what the objective is to get what he wants, which is to comment just 1 word! With this, everyone wins, the product has life!
It's because of thoughts like this that many startups die! they want to kill an ant with a bazooka!
I started building what I thought was a thumbnail generator for YouTubers.
Six months and dozens of iterations later, I realized I had built the wrong product — or at least, I was solving the wrong problem first.
Here's what actually happened.
The original idea: AI thumbnails
Every YouTube creator complains about thumbnails. They're hard to make, they take too long, and good design skills feel out of reach for most people. So I built an AI thumbnail tool. It worked. Creators liked it.
But the retention was terrible. People would generate a thumbnail, think "cool," and never come back.
I kept asking myself: why?
The real problem nobody talks about
After talking to creators, I found the actual pain point. It wasn't thumbnails.
It was brand deals.
Mid-tier creators — people with 10k, 50k, even 150k subscribers — were losing sponsorships not because brands didn't want them, but because they looked unprofessional in the outreach process:
No media kit (or a terrible PDF made in Canva 3 months ago with wrong stats)
No idea what to charge
Tracking deals in a WhatsApp thread or a messy spreadsheet
No way for brands to "discover" them and reach out directly
One creator told me: "A brand emailed me, I took 4 days to respond because I was scrambling to put together something to send them. They went with someone else."
That hit hard.
What I rebuilt
I pivoted the entire product around one idea:
A creator connects their YouTube channel. In under 60 seconds, their professional Media Kit is ready — with real channel data, audience stats, pricing, and a public link to send to any brand.
No forms to fill. No templates to customize. No design skills needed.
The system pulls data from YouTube's API, processes the analytics, and generates a shareable Pitch Pack automatically. Brands can view it and even submit proposals directly through the link.
I called it Creator OS — because the thumbnail tool became just one module of a bigger system: video pipeline, brand deal CRM, analytics, and the Media Kit all in one place.
Where it stands today
Platforms: YouTube and Instagram (with Twitch support)
Pricing: Starts at $4.90/month
Live at: usecreator.app
The onboarding flow is the thing I'm most proud of. New user signs up → connects YouTube → sees their Media Kit link in under 90 seconds. No tutorial needed.
The lesson that cost me months
I spent way too long optimizing the feature I built first (thumbnails) instead of talking to users about what was actually blocking them from making money.
The thumbnail generator is still there and works great. But it's not why people stay.
They stay because they landed a brand deal they almost lost — and Creator OS helped them look professional enough to close it.
One thing I'm still figuring out
Distribution. I'm a solo builder. The product works, the tech is solid, but I'm just now starting to think seriously about growth.
If you've built a tool for creators or in the influencer marketing space — I'd genuinely love to hear what worked for you.
And if you're a YouTuber or content creator reading this: your Media Kit is one click away. No Canva required.
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Mi è stato molto utile, avevo in mente di creare una roba del genere
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This was a great read — especially the part about realizing the thumbnail tool wasn’t the real problem. I’ve had similar moments as a solo builder where the feature I thought mattered ended up being secondary to the actual pain users were feeling. Your insight about creators losing brand deals because they didn’t have a proper media kit really stood out. It’s one of those problems that seems small from the outside but has huge consequences for the people living it.
I also relate to the idea of spending months optimizing the first feature instead of validating the real need. AI helped me build my own SaaS much faster than I expected, but it didn’t replace the hard part: talking to users and understanding what actually moves the needle for them.
Curious how you approached the conversations with creators that led you to the pivot. Were they structured interviews, or more casual chats that revealed patterns over time? And now that Creator OS is live, what’s been your most effective distribution channel so far — or at least the one that feels the least like guessing?
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Solid pivot. The "lost the deal because my media kit wasn't ready" story is painful and real. Curious — do creators on your platform ever ask for custom visuals inside their kit? Building svgverseai and wondering if there's overlap between what you're solving and what we generate.
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This is a great example of how easy it is to optimize for what users say they want instead of what actually moves the needle for them. Thumbnails feel like the problem, but brand deals are the outcome they really care about. The pivot makes a lot of sense — you didn’t just improve the product, you moved closer to the moment where money is made or lost.
Curious — did anything change in retention immediately after the pivot, or did it take time for users to “get it”?
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This is spot on — I’ve seen the same thing, features feel cool but don’t fix the real bottleneck. Turning it into something that helps creators actually close deals is the real win.
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Keep up the good work. You got this!! :)
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The pivot from a “cool creator tool” to something tied to revenue is real. Once you help people look professional enough to win brand deals, the product becomes more than a utility.
I liked what you said about how retention exposed the real problem, that's a sharp reminder to optimize what makes people stay, not what gets attention. -
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Hey, I saw your product Multify — really cool idea. I'm building a tool to help indie developers collect testimonials automatically. I'm not selling anything yet, just trying to understand if this is actually a problem people face. Would you mind if I asked you 3 quick questions?
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its good
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that's so interesting
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Well... the user is always in control, not what we think they need and want. Until we die, we are always learning, and mistakes are our greatest teacher. Congratulations...
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Exactly! Thank you for your support!
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This is a very cool project
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Yes! If you want to adopt your routine, I'll give you a discount! 😉
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This is a great example of how retention usually points to the real problem faster than feedback does.
The thumbnail tool solved a visible pain, but the media kit solved an economic bottleneck — getting paid. Once revenue is involved, the product moves from “nice tool” to “workflow infrastructure.”
I’ve noticed something similar when building AI automations: users often ask for improvements to the first feature they see, but the real friction sits one layer deeper in the outcome they’re trying to achieve.
Curious — did the pivot come mainly from user interviews, or did you notice behavioral signals first (like usage patterns or drop-off moments) that made you rethink the product direction?
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Hello! Thank you for your support!
The changes came about based on interviews with users! We have 230 subscribers, and those who pay can give incredible feedback; honesty is one of the pillars I look for in my users!
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They pay for Canva, Notion, Sheets, Pluto, VidIQ, spreadsheets, CRM tools... then waste hours context-switching between tabs.
Meanwhile their actual creative work—the thing that pays the bills—gets squeezed into the cracks.
Creator OS isn't another tool to add to the pile.
It's the operating system that replaces the pile.
AI thumbnails that platforms can't detect.
Pipeline board that tracks idea to published video.
Brand deal CRM that stops sponsor leakage.
Analytics + integrations that actually work with Notion/Sheets.
One tab. One subscription. One source of truth.
The indie hacker approach to creation isn't collecting tools—it's eliminating waste.
Your stack shouldn't require a stack.
try: https://creator.multifyco.com
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This is a real problem — the tool stack gets out of control fast.But I always wonder… do creators actually want an “OS”, or do they just want fewer decisions to make? Because replacing 5 tools with 1 big tool can still feel heavy if it tries to do everything.The idea of reducing context-switching is solid though. That part definitely resonates.
I'm a dev and I run a YouTube channel. My workflow was a mess:
- Canva for thumbnails ($12.99/mo)
- Notion for video tracking ($8/mo)
- Social Blade for analytics
- Spreadsheets for brand deals
- Gmail threads for sponsor communication
Five tabs. Zero connection between them. Every video meant switching contexts 20+ times.
So I built Creator OS - a single platform that handles everything a YouTube creator needs:
What it does:
- AI Thumbnail Studio - Generate thumbnails from text in under 30 seconds. Includes Visual DNA analysis (analyze any top-performing thumbnail and match its style). Stealth mode strips all AI metadata so platforms see a clean, human-made file.
- Video Pipeline - Kanban board: Idea > Script > Recording > Editing > Published. Attach thumbnails, set target dates, sync with Notion.
- Brand Deal CRM - Track sponsorships from lead to payment. Values, deadlines, deliverables - all linked to your pipeline.
- Channel Analytics - Views, CTR, engagement, estimated revenue. Spot underperforming thumbnails.
- Integrations - YouTube, Notion, Google Sheets, Gmail, Slack.
Pricing:
All plans unlock every module. Cancel anytime.
The comparison that matters: Canva + Notion alone costs $20+/mo and gives you ZERO pipeline or deal management.
Creator OS starts at $4.90 and does it all.
Live now at creator.multifyco.com
Would love feedback from fellow IHers who also create content. What's the biggest bottleneck in your creator workflow?
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Interesting, will give it a go
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Consolidating multiple tools into one is a powerful value prop — the 'all-in-one' pitch works especially well when the alternative is juggling subscriptions. At $4.90/mo you're basically eliminating the switching cost entirely. Curious how you handle feature parity with specialized tools like Canva though — do users ever push back that individual features aren't as deep, or does the convenience outweigh that?
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Great, will check this out, i am also working on a saas project, so i know how things takes time to solve such painful problems.
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Good job. Sounds like it's really a time consuming process and you solve it. Great. Best wishes for you.
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Great post! 🔥 If you're into content creation and editing, this kind of all-in-one tool can really boost productivity and save both time and money.
Also, for creators looking to enhance their thumbnails and visuals, you can check out lrmproapk for premium editing features.
Keep sharing such useful tools!
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Nice. I replaced them with VeeGoGo, also good stuff. There is something I hate about notion, it is just not intuitive enough for me. Google stuff is really hard to replace
Have you ever wondered why a "messy," simple thumbnail often outperforms a professional design that took hours to craft?
The answer isn't in the aesthetics—it's in Cognitive Load.
In 2026, the average viewer makes a decision to click in less than 400 milliseconds. In that window, the human brain isn't processing "beauty." It’s processing survival and curiosity.
1. The Amygdala Hijack (Emotional Triggers)
Our brains are hardwired to prioritize information that elicits emotional responses. The amygdala—the part of the brain responsible for emotional reactions—activates instantly when we see high-stakes or intriguing scenarios. This is why "unfiltered" or high-emotion faces outperform neutral, "clean" professional shots.
2. The Curiosity Gap (Information Gap Theory)
Psychologist George Loewenstein’s "Information Gap Theory" explains that curiosity arises when there is a gap between what we know and what we want to know. A thumbnail shouldn't summarize your video; it should open a loop that the brain feels a biological need to close. If your thumbnail explains the whole story, you’ve already killed the click.
3. Visual Cortex & High Contrast
The visual cortex is directly stimulated by high-contrast visuals and bright colors. Data suggests that thumbnails with high-contrast elements can see significantly higher Click-Through Rates (CTR). Muted, sophisticated tones might look good in a portfolio, but they disappear in the high-speed feed of a mobile user.
Eye-tracking data consistently proves that humans scan thumbnails before reading titles. Excessive text creates "extraneous cognitive load," causing the viewer to skip your video simply because it feels like "work" to understand it. Professional creators in 2026 now follow the 0-3 word rule to ensure instant comprehension on small screens.
• Stop designing, start triggering: Focus on one clear emotion or one unresolved "gap."
• Reduce Noise: Remove 30% of your background elements. Less visual noise = faster decision-making.
• Human Connection: Use expressive faces. Studies show thumbnails with human faces can increase engagement by up to 34%.
At ThumbCraft, we don't just build "pretty" templates. We build neurovisual frameworks designed to bypass the conscious mind and trigger the click at a biological level.
Stop fighting human nature. Start using it.
Explore Neuro-Validated Templates
Try New App: ThumbCraft = https://thumbcraft.multifyco.com
Sources & References:
• George Loewenstein - The Psychology of Curiosity: The Information Gap Theory (https://www.contrib.andrew.cmu.edu/~gl20/GeorgeLoewenstein/Papers_files/pdf/PsychofCuriosity.pdf)
• Scientific Reports (Nature): Prediction of cognitive load with eye-tracking indicators (2025) (https://www.nature.com/articles/s41598-025-89336-y)
• ScienceDirect: Sentiment analysis of thumbnails and titles (2024) (https://www.sciencedirect.com/science/article/abs/pii/S0148296324003539)
• YouGenie Blog: The Neuroscience of Attention and Clickbait (https://blog.yougenie.co/posts/science-of-clickbait-youtube/)
• PMC (NIH): Cognitive load and visual attention in multimedia design (https://pmc.ncbi.nlm.nih.gov/articles/PMC12668483/)
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This is a fascinating perspective. We often assume people make decisions based on logic alone, but attention, emotion, and cognitive load play a huge role in what they notice and what they ignore.
It also reminds me that great design isn't just about aesthetics. It's about reducing mental effort and helping users understand what to do next without friction. The easier something feels to process, the more likely people are to engage with it.
As builders, it's a good reminder to spend time understanding user psychology, not just polishing the interface. Thanks for sharing these insights.
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This is such a clear, actionable breakdown of why “ugly but clear” often beats “beautiful but heavy” in modern feeds.
What really stood out to me:
Framing the problem as cognitive load instead of “design quality” instantly explains why messy thumbnails win in under-400ms decisions.
The way you connect amygdala triggers, curiosity gap, and high-contrast visuals turns vague advice like “make it pop” into something you can actually design for.
The 0–3 word rule is a great constraint; it forces clarity and makes you choose one emotion or one open loop instead of cramming the whole value prop into the thumbnail.
Also appreciate that you backed it up with real research instead of just “growth hacker wisdom.” This makes me want to audit my own thumbnails and landing hero sections purely from a “how fast can a tired brain make sense of this?” perspective.
You spend 4 hours designing a "perfect" thumbnail.
The algorithm ignores it in 4 milliseconds.
The problem? You are designing for yourself, not for the pattern recognition of a machine.
Most creators are stuck in 2022, hiring designers who "feel" what looks good.
In 2026, feelings are overhead. Data is the only currency.
Thumbcraft is not a "design tool".
It is an agent-driven engine that crafts high-intent visuals based on what actually triggers a click.
No more back-and-forth with freelancers.
No more "guessing" which color works.
No more salad design.
Just high-performance, machine-optimized thumbnails delivered by your Multify agent team.
Stop being a designer. Start being a distribution machine.
Try ThumbCraft
Building a startup in 2026 is no longer about who has the best idea.
It is about who can execute without the friction of "managing" people.
I spent years hiring, onboarding, and babysitting marketing teams.
$10k a month for slow meetings and "strategic" slides that led nowhere.
That was the salad. It looked healthy, but it tasted like stagnation.
Now, I use an autonomous agent team.
No ego. No burnout. No 2-week delays for a single campaign.
If you are still waiting for a human to "get around" to your growth tasks, you are already behind.
Execution is now a commodity.
Speed is the only moat left.
Multify is the hamburger. Pure, aggressive efficiency.
Stop hiring managers. Start deploying agents.
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Değerlendirilip üzerinde kafa yorulması gereken bir şey.
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The hiring reframe is real. Running a one-person logistics company, the $50K ops hire everyone told me I needed never happened. Built the systems myself with AI instead. But the interesting part isn’t the savings - it’s that my first hire now gets to be pure revenue generation, not keeping the lights on. AI didn’t eliminate a role. It changed which role comes first
For months, I was stuck in the "Politeness Trap."
Every time I asked for feedback on my product, I got the same response: "It looks great!", "Nice UI!", "Keep it up!".
On paper, I had a 5-star product. In reality, my stripe dashboard was a desert.
I realized that compliments don't improve products. Honest feedback does. But customers are usually too polite (or too busy) to tell you why they actually didn't buy or where they got confused.
Standard forms like Typeform or Google Forms failed me. They are static. They don't "dig deeper." When someone writes "It's good," the form just moves to the next question.
So I built StoryProof.
Instead of a form, it's an AI agent that conducts a real interview. When a customer says "I liked it," the AI follows up with: "That's great, but which specific part made you hesitate before signing up?".
It mimics a user researcher's brain. It pushes for the "Story" behind the feedback.
The result? I started getting insights that actually hurt to read—but those were exactly the things I needed to fix to start scaling.
If you're tired of hearing "nice job" while your churn stays high, you might want to try this approach.
Would love to hear how you guys are currently getting honest feedback without "interrogating" your users manually!
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Wow!! Very interesting! I needed something like this! I'm going to test it
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can it be integrated withing existing sites? like if there already exists a feedback system on a site, can this agent be installed onto the site?
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I've already implemented a foundation, expecting something at this level! There's already a webhook in the system, but for this implementation I decided to only finalize it if there's demand. If any client of the project wants this implementation, I will finalize it, leaving it as simplified as possible with a plugin-and-play solution containing all the logic in the StoryProof backend. That's why I only want to finalize it if a client asks me for it.
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The politeness trap is real and it took me longer than I'd like to admit to figure out why my feedback sessions were useless. The fix for me wasn't a better form or a smarter tool at first, it was just changing one question. Instead of "what did you think?" I started asking "what almost stopped you from signing up?" That one word, "almost," gives people permission to be honest because they still completed the action, so they don't feel like they're being mean.
The other thing that helped was talking to people who churned, not people who stayed. Your happy users will tell you why they like you. Your churned users will tell you why the product wasn't worth the friction, and that second list is where the real product roadmap lives.
What you built makes sense because the follow-up question is exactly what a good researcher does in person but nobody does in async. Curious whether you're seeing patterns in the hesitation points, like is it usually pricing, or trust, or just confusion about what the product actually does?
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Excellent points!! Regarding the canceled customer issue, I will implement the logic and specialized Agents for that context as well! Thank you.
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Nice! How did you do that?
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