I'm a second-year BCA student in Jaipur, and on the side I run small YouTube channels — all organic, zero ad spend. Until yesterday I was running three at once: a space-facts Shorts channel, plus two long-form cartoon channels doing original folk-tale episodes. Yesterday I decided to stop the two cartoon channels and put everything into the one Shorts channel.

The reason wasn't that the cartoon channels were dead — they were growing, just slowly, and each 12-minute episode ate an entire production cycle. Meanwhile the Shorts channel was also growing slowly, but each video costs me a fraction of the time. I was spread so thin that nothing was getting my best work.

So the question for people who've actually done this: how do you decide what to kill when nothing is clearly failing? Is there a metric that made the call for you — flat views for X months, hours-per-video vs return, or just the honest answer that you couldn't sustain all of it? And after you cut, did the surviving project actually grow faster, or did you just end up with more free time and the same slow growth?

I'm not looking for "focus is everything" slogans — I want to know what signal you used, and whether cutting was the right call in hindsight. What would you have measured before deciding?

We do growth for local businesses and clients churn the moment results dip for a month..

Thinking of adding a white-label whatsapp inbox under our brand since that’s where most of their leads end up anyway..for those who added a resold product to their services..did clients stay longer or just cancel both together?

AI can send thousands of personalized emails, but personalization doesn’t always mean relevance.
Sometimes the best opportunities are hidden in job descriptions or conversations from six months ago.
5 non-obvious checks to make cold B2B outreach actually work

Ngl most people are still out here optimizing for long tail keywords like it's 2018 while our high intent pipeline literally shifted to AI search engines... chatgpt and perplexity aren't just looking at the same SEO signals we've been optimizing for since 2018... content structure still matters, but so do entity relationships, credible citations, and how consistently your product is described across sources

we spent the last 60 days treating llm visibility as a major focus for our b2b saas... it was highkey a gamble, but it paid off... here's the playbook:

1. Entity relations > keywords: we nuked the generic "sales automation" slop from our copy... instead, we built comparison pages like "product x is a lightweight alternative to hubspot, built specifically for bootstrapped agency founders." It gave AI search systems a much clearer way to understand what our product does, who it's for, and how it compares to established alternatives
2. Tables over marketing fluff: we stripped the corporate fluff from our landing pages and replaced it with structured markdown tables and explicit schema... giving parsers clear feature-to-price breakdowns seemed to make AI-generated descriptions of our tool more accurate in our tests
3. Objective forum seeding: llms are chronically online on reddit... we didn't spam links... we found high-intent threads, wrote exhaustive breakdowns of the top 3 tools in our niche, and objectively listed our tool next to two massive incumbents... within 18 days, we started seeing ChatGPT cite some of those exact threads in relevant answers

the results: our generic blog traffic dropped significantly, while high intent inbound conversions increased. we're still working out how much of that lift came directly from AI search... we're catching users exactly when they ask an AI "what is the best tool for x that does y"

is anyone else actually mapping out a geo strategy rn, or are we still pretending seo isn't cooked ??? also, how are yall tracking attribution when perplexity drops a lead into your crm ???

we are kinda flying blind here lol

For our next campaign we want to test whether addressing common sales objections earlier could bring in more qualified demo requests but one concern that comes up is how much work setup might involve and pricing is harder to address because sometimes the issue is the cost itself and other times people just aren't seeing enough value.

We're thinking about adding a section to our landing page that addresses one of these concerns while keeping the rest of the campaign the same and our sales team would also track whether the objection still comes up during calls but the only thing we're unsure about is whether bringing it up so early might create doubts that weren't there in the first place.

I built an AI SDR for Instagram that finds your ideal prospects, sends personalised DMs, follows up, qualifies interested leads, and books calls straight onto your calendar.
Basically, an AI appointment setter that works for you without having to hire a human setter.
Bit of context so this doesn’t sound like another AI tool pitch.
I used to work as an appointment setter for businesses on Instagram, so I know how much time goes into finding leads, writing messages, following up, and getting people to actually book a call.
That’s why I built Magnet Engine.
Here’s what it does:
• Finds people who match your target audience

• Analyses their profiles and generates personalised DMs

• Follows up to keep conversations going

• Qualifies prospects based on your offer

• Books interested prospects directly onto your calendar

You tell me what you sell, who you want to reach, and send me your calendar link.
Magnet Engine handles the outreach and follow-up so you can focus on closing deals.

$200/month. No need to hire an appointment setter or spend hours in Instagram DMs yourself.
I’m looking for 5 businesses to test this with before opening it up properly.

It’s best suited for agencies, coaches, consultants, and other businesses selling services through sales calls.
If you're interested, drop your website and I’ll hand pick the lucky 5.

just closed our series b and suddenly everyone wants to scale spend fast. one of our senior people keeps bringing up ctv in every meeting. all our data lives in paid social so of course im the one getting asked if tv can be held to the same standard. i’m not worried about reach, i’m sure it gets seen. i’m worried about sitting in front of the board at the end of the quarter and not being able to say what it actually did

we use northbeam already and i saw vibe plugs into it, plus they work with haus for incrementality tests, so thats where im leaning. would love to hear from anyone who scaled into ctv around this stage, whether it held up to the same scrutiny as your paid channels or ended up being a “brand” budget nobody really check

I want to share this because I remember the feeling clearly, and I’ve seen a lot of people here describe the exact same wall.

I spent 5 months building Targela, a goal-planning app, alongside a full-time job and a master’s degree. No budget, no audience, no connections in the startup world. When the app was finally ready, I launched it and nothing happened. just friends as users.

I spent a few days thinking through every channel. I genuinely thought I had no moves left.

Then I just started posting on Reddit. Not ads. Not “check out my app” posts. Just honest stuff: why I built it, what I was struggling with, what I’d learned, asking people about their goals. I replied to every comment. When someone described a problem Targela was built to solve, I mentioned it once, honestly, and answered their question first.

Less than two months later: 5 users, all free, none of whom I know personally.

I know 5 is nothing. These 5 people found the app because they read something I wrote and it meant something to them. No money spent.

Still a long way to go. But “0 to 5 with no budget” felt worth sharing for anyone else staring at that same wall. So just trust the process.

But how did you get your first users?

Paid ads are getting saturated and expensive, kind of like meta ads a couple of years ago. organic takes forever. and launch spikes die in a week.

So we've been building creator programs and documenting what actually works. A few takeaways:

1. there are 3 ways to work with creators: flat fee, pure commission, or a hybrid. each one breaks in a different way. flat fee = you pay even if nothing converts. pure commission = good creators won't take it.
   
2. the hybrid deal is what's worked best for us: commission + a small minimum guarantee. creators feel safe, you stay aligned on results.
   
3. if you pay per view, cap it. otherwise one viral video can blow your budget.
   
4. always get usage rights. the best creator content often performs better as ads than as organic posts.
   
5. no budget? it's not all about money. early access, visibility, community and product perks get you further than you'd think, especially with smaller creators.
   
6. launching the program is the easy part. what matters is what you do after week one: track every creator, double down on the ones that convert, and build tiers so the best ones grow with you.

My cofounder recorded a full walkthrough (24 min) going step by step, from picking your first creators to scaling. disclosure: it's our own content.

timestamps:

0:00 intro
1:15 why creator programs are about to explode
3:14 3 ways to work with creators
6:18 always get usage rights
7:18 no budget? it's not all about money
9:40 who should join your program
11:13 the creator map
14:19 how to pick the right creators
16:22 what to do after week one
20:45 how to measure every creator
22:22 how to scale it

https://x.com/imlocha/status/2115067238416011340

Curious how others here structure creator deals. Any feedback or ideas are welcome, happy to learn from your experience too.

AI agents can produce a lot of useful work.

But sharing that work with a team isn't always easy.

Long text responses, scattered files, and static reports don't always make it easy to explore ideas or collaborate.

So today we're sharing Spacesheep, a way to turn AI agent output into interactive spaces.

You can create:

• ⁠Interactive documents
• ⁠Live dashboards
• ⁠Mockups and apps
• ⁠Visual explanations and more

Share a space with your team, comment on specific parts, and ask AI to update it. Every version is kept, and spaces can sync to Google Drive or GitHub.

It works with agents like Claude Code, Codex, Cursor, and ChatGPT.

The goal is to make AI-generated work easier to read, share, and improve together.

It's free to start.

We'd love feedback: what kind of AI-generated output would you most want to turn into a collaborative space?

Please show your support and share your feedback on PH → https://www.producthunt.com/posts/spacesheep

Spaces are the place your teams and agents can be productive. Create your first space here → https://spacesheep.dev/

Technical founder, B2B SaaS, live. Ads bring me a few trials. Two months of posting on LinkedIn and X, 3 times a week: a bit of reach, then nothing. Zero organic trials.

So here's where I've landed: at this stage, organic is a vanity game. Ads give me data in a week, organic gives me impressions and no users. Every "build in public" story I read seems to come from someone who already had an audience.

I'd like to be wrong about this. If organic actually worked for you early, with no audience to start with, what did you do that I'm not doing?

Most Ramp breakdowns stop at the business model: free software, card revenue. This one maps where Ramp reaches buyers instead.

• Co-CEO Eric Glyman’s LinkedIn posts, which show up as sources in AI answers
• Creator reviews on YouTube
• A finance library that brings 47% of US traffic
• Help center and pricing pages AI tools quote

The exposed side: competitors write most “Ramp alternatives” pages, and Perplexity is Ramp’s weakest AI engine.

If you’re early-stage, which of these would you run first?

There is much growth advice online that it is hard to know which growth advice actually works outside of theory. I am curious, about experiences, especially small experiments that did not require a big budget. What did you try, what happened and would you recommend this growth advice to someone starting from scratch?

I watched a 62-second AI-generated trailer that turned AI lab executives into desert warlords. There's a convoy racing through the sand, one character manning a mounted gun, another wearing pilot goggles, and a llama standing in the background for no apparent reason.

The atmosphere was convincing enough to keep me watching, although the vehicle logos turned into gibberish when I paused the video.

I tried recreating a few desert-chase concepts with Seedance 2.5 through Dreamina, but my results were much rougher. For transparency, Dreamina is my product, so I'm interested in honest feedback rather than presenting this as an independent review.

It got me thinking about creative testing. If a team could turn a rough campaign idea into a short visual prototype in an afternoon, they might be able to compare concepts before committing to a full production. The challenge is whether the generated footage is consistent enough to communicate the idea without distracting viewers.

For growth teams, how do you currently validate video ad concepts before spending on production? Would AI-generated prototypes be useful for testing hooks and overall direction, or would imperfect visuals make the results too unreliable to learn from?

Every pitch deck and guru thread claims automation growth is dead or alive depending on what they're selling, and the middle is silent. The platforms crack down harder every year, yet services keep signing people up.. if i run or pay for one this year, is the audience still real people, and what convinced u if it wasn't bot inflation??

Been wondering something for a while:

Why is it so difficult to make an n8n chat widget match your brand without digging into code?

n8n makes building AI workflows easier, but its default chat interface can feel limiting when you're putting an agent on a real website.

So today we're sharing N8N Chat UI, a no-code builder for branded AI chat widgets.

You can design the widget, preview it live, and connect it to your n8n workflow.

• ⁠Custom themes and layouts
• ⁠Streaming, voice, and file uploads
• ⁠Popup or embedded widgets
• ⁠Plugins for WordPress, Webflow, Shopify, and Wix

It also includes developer tools for custom integrations and managed widget features.

The goal is to make it easier to turn n8n workflows into polished chat experiences without building the interface from scratch.

We just launched on Product Hunt.

We'd love feedback from this community: what feature or integration would make an n8n chat widget more useful for your projects?

Please show your support on PH → https://www.producthunt.com/posts/n8n-chat-ui-3

saw this story on x, Nadia zueva is a programmer building aesty.ai, an ai fashion app with around 560 paying users, and she treats marketing like a ladder where each rung costs more than the last.

trendwatch, basically free. claude digs through competitors for formats that are landing right now, weighing saves and shares over likes, and only from small to mid accounts where the format is doing the work, not the follower count

carousels, cents per post. test which message and which look the audience responds to. save rate is the tell

video, real money and time. made with kling 3 or seedance 2, and only for messages that already won as carousels

distribution through postiz, driven by claude code

her point about why organic "doesn't work" for a lot of founders: they start at rung 3. they spend the budget on a perfect video for an idea nobody validated, it flops, and they quit.

a message that flops as a carousel will flop as a video too, just for 5x the cost.

by the time she makes a video it isn't a bet anymore.

basically she is doing it in the opposite way, cool growth hack imo. at this stage anything that can keep us going is going to give us return

Drop your website below 👇

I'm building Magnet Engine, an AI Instagram appointment setter that finds potential customers, analyzes their profiles, generates personalized DMs, and helps turn conversations into booked calls.
Before pushing it further, I want to test it with real businesses and get feedback from people who could actually use it.
Here's what I'm offering:
•I'll check out your website and understand your offer.

•I'll find 10 potential leads who could be a good fit.

•I'll generate 10 personalized DMs based on their actual profiles.

No payment, no commitment. Just a chance to see what the software can do for your business.
If you like the results and want to take it further, I'm also testing a $200 offer to send 3,000 cold Instagram DMs over a month, including lead research, personalized outreach, reply handling, and call booking.
The goal is to help you get more sales calls, but results will depend on your offer, audience, and campaign.

Who should comment? Coaches, agencies, consultants, and anyone selling a service through sales calls.

Drop your website below, and I'll pick a few businesses to start with.

I'm a second-year BCA student in Jaipur, and on the side I'm building a small esports brand and a few small YouTube channels — all organic so far, zero ad spend. Posting has been steady, and a few videos have done okay, but turning steady posting into actual growth feels like a different problem from just putting content out.

The part I'm stuck on: with no budget, what actually moved the needle for you early on? Was it narrowing to one niche instead of trying to cover everything? Was it a Shorts/clips funnel that fed the main content? Was it showing up in a community (Discord, Reddit, game forums) instead of just posting and hoping? Or was it something unglamorous, like fixing titles and thumbnails, or posting on a schedule people could rely on?

And the flip side: what turned out to be a waste of time? I don't want to keep guessing — I'd rather hear what worked for someone starting from near zero, and what you'd skip if you were starting again.

No links or names here, I'm just trying to learn what actually works before I spend more months on the wrong lever. What was the first thing that genuinely moved your numbers?

okay long post ahead

i do website and app development. i know $3670 is not a lot for the number of clients, but i started freelancing only a few months ago and this is how i got 8 clients in a single month without any ad service or paid ads.

what worked for me was visibility. it always worked. here’s everything i did, in detail.

i was spending almost 16 hours a day on all of this (and ofc skipping college classes). i’m not saying you should do that. but the first 2 weeks i was doing it just to figure out what works.

step 1: a portfolio that doesn’t look like AI

first i made a decent portfolio that shows what i can actually deliver. and see, it should not look like AI at all. this is where most people mess up. same purple gradient, same “Hi, I’m a passionate full-stack developer” hero, same 3 cards with emojis. clients have seen it a hundred times and they scroll past in 2 seconds.

what i did instead:

- only 4 projects of my previous work with clients, not more than that. each one has a one-line results which my previous clients got.

- wrote all the copy myself in simple readable english no fancy showoff keywords

- real screenshots, a live link for every project, and a 20 second screen recording on the best one

- one button only: “book a free 15 min call”. no 5 different contact options

- loads in under 2 seconds, so many people underestimate this. i tested it on my phone and other different devices, because most of the clients open links on their phone

step 2: discord (3 clients came from here)

i joined servers where my target clients actually talk: indie hacker servers, startup founder servers, no-code communities, shopify/ecom servers, and a few dev servers. i left the ones where it was only developers talking to developers, because developers don’t hire developers.

my approach:

1. read the #help and #feedback channels first, not #general
2. when someone posts with intent for hiring like “my site is slow” or “can anyone look at my landing page”, i actually opened their site and gave a real answer. like “your hero image is 4mb, compress it to webp and your load time drops, here’s the tool”
3. after 3-4 days of this, people started to recognise u in the community which is very essential
4. only then, if someone asked “who built this / can you help me with this”, i’d say “i build this kind of stuff, here’s my portfolio, happy to do a quick call”

i never dropped a link in the first message. never posted in #self-promo as my main strategy. helping first is what made people dm me.

my 2nd client from here literally dm’d me saying “you helped me in the server last week, can you just build it for me”. that’s the whole game.

step 3: X (1 client)

i followed around 80 founders and indie hackers who post “building in public” updates. every day i replied to their latest posts with something useful.

example: someone posted their landing page. i replied “your headline talks about your product, not what the customer gets. try ‘get X without Y’ and move the demo video above the fold. here’s what i’d change” and attached a quick screenshot.

at the end of some replies i’d add “you can dm me if you need any help with this”. not every reply. only where it made sense.

no threads, no “10 tips” posts, no cringe. just useful comments under the right people’s posts. my replies got seen by the founder and everyone scrolling the thread.

step 4: linkedin (1 client, but the best one)

this was the easiest one. i followed founders, startup ops people, and agency owners, then commented on posts where my clients could be found: someone hiring for a website, someone complaining about their developer, someone launching a product.

my rule was no “great post!” comments. every comment had to add one real point or answer a question. 3-4 lines max.

i also turned on notifications for about 20 founders so i could comment in the first 30 minutes of their post. early comments get way more visibility.

the founder who became my highest paying client ($900) first saw me because of a comment i left on someone else’s post. he checked my profile, my portfolio link was in the featured section, and he dm’d me the same day.

step 5: instagram (2 clients)

i searched keywords like “home business”, “handmade”, “cafe”, “clothing brand”, “home baker”, “boutique” and picked pages with 500 to 5k followers (big enough to have money, small enough that the owner reads the dms themselves) and also uses the google map techniques to find the businessess.

i never copy-pasted. i spent 2-3 minutes on each page and found one specific problem:

- link in bio goes nowhere

- they take orders only through dm

- no website at all, just a linktree

- google shows them but with no site

then i’d send something like: “hey, love your products. noticed you take all orders through dm, i build simple ordering websites for small brands like yours, i made one for a cafe recently. want me to send a quick example?”

i sent about 20 a day. around 1 in 10 replied. around 1 in 4 of those replies became a call. it’s low, but those clients were the easiest to close because the problem was obvious to them.

step 6: skool communities (1 client)

i joined tech and startup skool communities where founders hang out. for the first week i only helped. answered questions, gave free feedback on people’s landing pages, shared a few resources i actually use.

after that people started asking “wait, do you do this for clients?” that’s when i shared my work. the pitch was never me going to them, it was them asking me.

how i closed the clients

- every lead got a 15 min call. no long proposals up front

- on the call i always asked 3 things: what’s the goal of the site, are u really into it, what’s the deadline, what have you tried before

- after the call i sent a 1 page message to them with scope, price, timeline

- reply as fast as u can cause clients love the developers which is easier to work with them

how clients became retainers (the part nobody talks about)

one-time projects are a treadmill. you finish, get paid, and start from zero again. so many of my clients ended up on a monthly retainer, and i never pitched any of them. they stayed because of how the project went. i delivered fast, fixed bugs before they even noticed them, and kept their site running smoothly after launch.

what i learned

- be where your clients already hang out, don’t wait for them to find you

- provide value first, pitch second. always

- a small, specific portfolio beats a big generic one

- personalise every message, even if it’s just one line

- consistency matters more than any trick. i did this every single day for a month

if you’re starting out rn: pick one type of client (startups, local brands, whatever) and go deep on them instead of trying to be everything for everyone. simple, not easy.

ask me anything in the dm or comment below or any other idea, would be happy to help you.

you can check out my portfolio: https://www.shreyashtech.me

found this hack on x, check this out, Alex nguyen makes a lot of studytok slideshows and the tip that stood out to me is about slides 2 through 6, not slide 1.

the first slide gets all the attention, then the rest turn into labels. "step 1... step 2... the end." and that's where it starts go down…

his fix is making every slide a mini hook. same info, different line:

boring: "step 2: use active recall"

hooky: "step 2: the trick that feels harder but works 3x faster"

he has claude rewrite every slide so each one makes you want the next, under 12 words, casual, like a real person talking.

his example hook for slide 1 was "i failed every exam until a med student told me this."

then the images come from chatgpt and pinterest, the slides get built in canva, and everything gets scheduled in postiz.

should try myself or not?

The cheapest growth lever in AI search right now might be video. In our 1,000-query study, YouTube was cited far more than its rankings would suggest.

Anyone tested this?

Free live session on the wider picture with Guy Yalif (Webflow) on Wed 28 Oct.

The big part of the session with Guy Yalif, Webflow’s Chief Evangelist, on Wed 28 Oct: https://slatehq.com/workshop/how-ai-search-works

Been wondering something for a while:

Why do non-technical teams have to rely on code reviews or mockups to know if a website change is what they asked for?

You might trust the pull request, but it's hard to judge the result if you can't read code.

So today we're launching Ovren Live Preview, our attempt to make that easier.

It lets you describe a frontend change in plain words, preview it on your real page, and test it before your team merges the pull request.

• ⁠Describe the change
• ⁠Preview and test the page
• ⁠Request edits or approve
• ⁠Let developers review and merge

No localhost, install, or deployment needed.

We'd love feedback from this community: would seeing the real page before approving a change make you more confident in AI-generated code?

Please support on PH →

https://www.producthunt.com/posts/ovren-live-preview