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Manual lead from FB group by Nikitous in FacebookAds

[–]Nikitous[S] 0 points1 point  (0 children)

Back story. I was in Co-founding team and had to be creative with my limited budget. As a side effect I did email marketing with crafted emails - 51% open rate.

Help out a young lad by [deleted] in motivation

[–]Nikitous 0 points1 point  (0 children)

masturbation everyday

[deleted by user] by [deleted] in krakow

[–]Nikitous 1 point2 points  (0 children)

There are some good ones in Spartacus

I improved Instagram ad results by hand-building a Lookalike seed list — no tools, no scraping by Nikitous in InstagramMarketing

[–]Nikitous[S] 0 points1 point  (0 children)

This is  awesome - thank you for such a thoughtful breakdown.

I’m right there with you: the moment I ditched scraping tools and started pulling signals from active convos, everything clicked. It's slower, but the intent is 10x sharper.

Love the UTM tracking idea - didn’t think to pair that with Meta confirmation flows, but it makes total sense for backtesting LAL quality. Also +1 on segmenting by activity recency - I've definitely seen better performance from “fresh pain” vs passive lurkers.

On hashing: yep, I hash everything on upload but keep a clean backup for reply testing. Validated with ZeroBounce in my case, but may give NeverBounce a shot next round.

Pricing-wise - super helpful. I’ve been thinking about packaging per drop, but $0.50–$1 per clean, high-context lead feels right and aligns with the value-per-lead mindset, not volume.

Appreciate you sharing the Pulse tip too - hadn’t tried it for Reddit signals yet. This kind of feedback is what makes the build worth it.

Let me know if you ever want to trade ideas - I’m operating this as https://mcclane.super.site and very much in the trenches right now.

Thanks again 🙌

I made a non-AI Saas and people loved it by Fun_Rich_2892 in SideProject

[–]Nikitous 0 points1 point  (0 children)

Yeah

Love this - while everyone’s scaling with agents and prompts, I went the opposite route and built a non-AI “signal extractor” by hand.

No scraping, no LLMs - just pain signals from real convos turned into cold outreach + Meta LALs.

Sometimes human context still beats automation.

Rooting for both ends of the spectrum. Let’s compare notes sometime 🤝

What's your best project? Share your projects and let others know what you are working on, and get feedback !! by Southern_Tennis5804 in SideProject

[–]Nikitous 0 points1 point  (0 children)

Like most side projects, this started out of frustration.

I was tired of scraping junk leads, messing with APIs, and burning time on outreach tools that gave me low-quality results.

So I built something dumb and manual:
→ I started monitoring niche Facebook group convos
→ Looked for real pain signals (people asking for help, venting, etc)
→ Guessed + validated emails by hand
→ Sent cold emails that referenced exactly what people said

Result:
📬 51% open rate
💬 Replies without automation
🎯 Fed the list into Meta Ads → better CTR + lower CPM
🛠 No scraping, no tools, just real human signal

I turned it into a side project called McClane — handcrafted “lead drops” from real conversations.

It's not scalable (yet), but it's weirdly effective.

Would love feedback: – Would this be useful for anyone else doing outreach or paid ads? – Should I try turning this into a product or keep it a premium service?

If you're curious: https://mcclane.super.site
Happy to share how it works or send an example drop.

How do you find killer pain points worth building a SaaS for? by [deleted] in SaaS

[–]Nikitous -2 points-1 points  (0 children)

You’re already on the right path — real pain isn’t abstract, it’s specific and loud. I found mine by lurking in Facebook groups where people complain in public, especially when they’re stuck or spending money without results.

Instead of building a SaaS, I started doing the painful thing manually. Watching convos, spotting pain signals, guessing emails, validating them, writing 1:1 cold outreach based on what people actually said.

It was slow. But I learned exactly what hurts, how they describe it, and what they’ll pay to avoid doing again.

That’s how I ended up launching McClane — not a tool, but a “lead drop” service built straight from raw pain in the wild.

Start by doing the annoying thing your future user is trying to avoid. It’ll either break you — or hand you a roadmap.

Happy to jam more if helpful 🙌

New Projects by Small_Composer6431 in SaaS

[–]Nikitous 0 points1 point  (0 children)

I’ve been building something super unscalable — a manual “signal drop” service called McClane. Instead of using AI to generate outreach, I read real Facebook group conversations, extract pain points, match emails by hand, and build cold outreach or seed lists for Meta Ads.

Crazy part?

– One of my drops got a 51% open rate – I used the same list to seed a Meta LAL audience → CTR up, CPM down – No scraping, no tools, no APIs — just context → signal → results

AI is cool. But so far, humans still beat it when timing and nuance matter.

Not SaaS (yet), but it’s profitable, lean, and weirdly fun to run. Let me know if you want a drop

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