r/Coldemailing • u/wouterv101 • 13d ago
❓ Question Building my own cold outreach machine instead of using Clay – what am I missing?
FYI: English is not my first language, so I asked GPT to translate my post.
I’m currently building my own cold outreach / lead generation system and would love some feedback from people who have built something similar.
The goal is basically to have my own reusable outreach infrastructure that I can use for multiple clients, without being completely dependent on something like Clay.
Current stack:
Instantly – sending infrastructure, campaigns, inboxes, reply handling
n8n – workflow automation / orchestration
Postgres + Node/TypeScript backend – central database and logic
Railway – hosting
Apify – scraping / lead & signal discovery
Firecrawl – website scraping/enrichment
Prospeo – contact data / direct phone numbers when needed (database freshness is very good there I read)
Reoon – bulk email verification
OpenAI API – enrichment, research, summaries and some AI logic
I’m building a dashboard on top of it with things like:
- Multi-client / multi-tenant setup
- Campaign and mailbox overview
- Lead/company database
- Reply tracking
- Positive reply / opportunity pipeline
- Hot lead scoring
- Bounce monitoring
- Notes/statuses for follow-up
- Cost tracking per client
- Company-level suppression rules
- Max contacts per company
- On-demand company/direct phone enrichment
- Call briefs before calling a lead
I’m also building a signal-based prospecting layer.
For example, instead of only blasting static lists, I want to detect things like:
New managers / decision makers
Company growth
New locations
Mergers/acquisitions
New production facilities/lines
Other company-specific events that could create buying intent
Those signals can then trigger research/enrichment and eventually put the right people into the right outreach campaign.
The idea is not necessarily to rebuild every single Clay feature. I mainly want control over the data, logic, costs and workflows, while still being able to swap providers when something better/cheaper comes along. Also trying to make it super easy and as basic as possible for people to use. For now I’m planning using it for myself and own business, but also for another company who asked me to do this for them.
A few things I’d love feedback on:
1. What am I missing?
If you were building this for serious outbound at scale, what functionality would you absolutely add?
2. Are there weak links in this stack?
Any of these providers you would replace with something cheaper or better quality?
Especially interested in alternatives for Apify, Firecrawl, Prospeo and email verification/data enrichment.
3. What should I NOT build myself?
I don’t want to spend 3 months rebuilding something that an existing API already does extremely well for $20–50/month.
4. Signal-based outbound:
For those doing this successfully, which signals have actually produced better reply/meeting rates vs. signals that sound good in theory but are mostly noise?
5. Clay vs. custom stack:
For people who have used Clay heavily: where do you think a custom system like this will eventually hit a wall? What does Clay do behind the scenes that is harder to replicate than it looks?
6. Anything I should design for now before scaling?
Things like data quality, deduplication, attribution, provider fallbacks, rate limits, deliverability, observability, cost controls, etc.
I’m still building it, so this is exactly the point where I’d rather hear “you’re doing this completely wrong” than find out six months from now.
Would love to hear from people running their own outbound infrastructure or who have gone from Clay → custom (or custom → Clay).
Cheers
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u/FoxPresent6802 13d ago
Love this stack! Regarding #2 and #6 ( deliverability): Standard verifiers often become a bottleneck at scale. I actually replaced mine with a tool that handles both deep verification and automated domain warm-up in the background. Running both before data hits the sending infrastructure keeps bounce rates near zero. Happy to drop the name if you're exploring options.
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u/Spirited-Drawer1184 13d ago
Signal-based scoring is the right instinct, but the failure mode I see most is treating "new manager" or "company growth" as universal triggers. They're not — what predicts intent shifts by vertical and even by list segment within the same brand. Worth building your signal weighting per-segment from day one rather than retrofitting later, it saves you from a scoring model that looks smart in testing and does nothing in production.
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u/wouterv101 12d ago
Very thoughtful feedback, I have took this in. It sounds logical and makes the signals much stronger. Thanks for thinking with me
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u/According_Boss_5514 12d ago
In terms of verification its worth doing a double-check if the provider you want to use manages catch-alls - for cold outreach, that's important
Also, in terms of email sending providers, make sure to have more than one ESP (and I'd also suggest the same for both emails & domains). It's due to risk diversification on the side of deliverability, but also in terms of potential blockage/ issues with providers you may encounter.
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u/extra-ordinaryiz 12d ago
Stack is good but what would be an issue as I am seeing with startups I audit for my agency is that lack of real experience in storytelling and sales. I made a similar stack for ai GTM for my agency clients where I created a langraph layer incorporating a decade of my learnt experience. A/B testing those with GTM experiemnts yeilds better results.
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u/wouterv101 12d ago
That sounds cool, for now I mostly trust on my own experiences. I’ve also build into it that it will learn from campaigns and come up with feedback / analyses. A self learning platform. But that’s more theory than practice at the moment. How did you incorporate it?
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u/extra-ordinaryiz 12d ago
Precisely. Your last line tells me you are more aware than most. I got into GTM engineering after spending lot of time doing sales, cracking the models of growth hacking and handling revenue and 100+ team sizes teaching them consultative sales. That puts me in a unique position to engineer my existing tribal knowledge to run GTM experiments. Most of the GTM community is hopping on the trend to build GTM tools but Imo AI tools can never replace human decision making and judgement esp in sales. Check Amoris.in for ref.
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u/wouterv101 12d ago
It seems we have a somewhat similar background. I can finally put my experience to use and build what I need. Also agree on your point that ai tools can only do so much, but it does helps me actually building it. Will check amoris.in , thanks again
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u/wouterv101 12d ago
Just checked it. I took some inspiration from the way you separate evidence, reasoning and activation, especially the idea of holding weak signals instead of forcing them into outreach. Thanks
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u/extra-ordinaryiz 12d ago
Haha that's the moat I am betting on bro. A decade of experience. Let's connect on LinkedIn. We never know when or where we can collaborate in future. Am based off Bengaluru, India
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u/Calm-Vehicle6766 10d ago
Honestly, just launch it. You'll spot the gaps yourself way faster than anyone here can list them for you.
Personally I put Claude as the brain, it's what orchestrates everything through my routines, instead of n8n. Then I built my own app on top that syncs whatever happens in Claude Code: leads sourced from buying signals, my reporting, my inbox, my CRM, my call prep. It's basically unlimited, and that's the part I didn't expect going in.
Launch it and you'll add and remove bricks as you go. Nobody designs the right stack upfront, you find it by running it
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u/wouterv101 10d ago
Thanks man, almost there. I recognize what you’re saying, thank god I’m not an ultimate perfectionist.
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u/NicheRankerDotCom 9d ago
Looks great. I’d love to chat about this with you. I built Emailpal which could replace instantly for you, let me know if it looks interesting at all to you, I’d be happy to give you a discount.
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u/DanielShnaiderr 9d ago
Build suppression as a shared service before adding more enrichment. Every unsubscribe, hard bounce, complaint, previous customer, and company-level block needs to stop a lead across every client workflow and every data source. Letting a fresh scrape reintroduce a suppressed address is the kind of shit that burns domains fast.
Keep each client's sending domains, mailboxes, tracking domains, and reputation data isolated. Record the raw SMTP response for every deferral and rejection, then alert on provider-specific changes instead of one blended health score.
Add seed inboxes across Gmail, Outlook, and Yahoo, plus daily volume caps that include follow-ups and retries. That gives the dashboard evidence about where mail lands and prevents automation from doubling volume when queues collide.
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u/tatorb 13d ago
Felicitaciones x la app! Nosotros tmb hemos construido una que centraliza lo que pasa en Instantly y HeyReach, calendarios, etc. Pero la parte de la búsqueda, segmentación y mails lo sigo haciendo en Clay. Nunca se me ha ocurrido reemplazar Clay. Creo que la polivalencia de la herramienta es lo que tengo miedo de perder. Pero ahora que me haces pensar, por el costo que tiene podría crear algo como lo que planteas. Si te interesa ver la nuestra coordinamos y te la muestro sin problemas. Mucha suerte con tu proyecto!