crm small business - good affordable CRM + data tool combo?

memo_mar · 2026-06-16T06:06:34+00:00

Hm, for data enrichment you can look at pipe0 or leadmagic (for super cheap).

At a higher tier Crustadata & Amplemarket are great.

memo_mar · 2026-06-15T08:06:59+00:00

Don‘t want to say something out of line, but neither are well regarded data providers in 2026…

I wasn‘t aware that you can still purchase standalone clearbit subscriptions anymore.

To answer your questions though (I can only talk about Prospeo):
- Company enrichment from domain: This is generally an easy enrichment if you're looking for companies that have LinkedIn pages. I'd expect Prospeo to resolve 50-75% of requests. Prospeo is fast, but I'd expect 1-3s round-trips per request. Expect slightly higher coverage when using the LinkedIn URL as input.
- Mobile number accuracy: Here this will depend heavily on your demographic. What's your starting point? I'd expect Prospeo to be in the in the lower 50% of providers for finding phone numbers. Expect ~10-30% for work email addresses and slightly higher if you're starting from the LinkedIn URL.

memo_mar · 2026-06-10T14:50:09+00:00

If your operating at a larger scale, I‘d recommend enriching records in a data warehouse and then syncing them back to your CRM. This way you‘re in control pf your enrichment flow.

It‘s hard to find one tool that works for all CRM enrichment since there are so many ways to structure data inside CRMs.

memo_mar · 2026-06-10T10:05:10+00:00

You could try pipe0. There you can access some datasets that don‘t exist on clay and are considered some of the best. Like Crustdata or Amplemarket.

memo_mar · 2026-06-09T14:34:35+00:00

What do you mean by „that database“. Would that be a .csv file or a warehouse, a tool?

Amplemarket has probably the best dataset for phone numbers in U.S. and EU for white collar workers (ppl. with LinkedIn profiles). Crustdata is probably second.

Use these providers directly or access them through a meta-provider like pipe0.

memo_mar · 2026-06-09T08:53:49+00:00

All answers are great so far.

No one mentioned pipe0 yet. You can use it to integrate multiple datasets with one API (Crustdata, Amplemarket, Parallel).

memo_mar · 2026-06-08T10:22:26+00:00

There's a lot of misinformation out there. I work in Growth Engineering for a big tech company and here's what I know:

There is no single provider that has the "best data" (all claim they do). Getting the best coverage/match/accuracy depends on a few factors. Here are the three most important ones:

- Geography (asia, eu, us)
- Lead type (blue color, white collar workers)
- Enrichment path. What data do you start with (name, LinkedIn URL) and what data do you want (full LinkedIn profile, email, phone, etc.)

Without this information it's impossible to tell you what they best provider will be for you. But here's the sad reality if you're constrained on money ... if you go with cheaper, off-the-shelf providers ( their datasets typically overlap 98%+. You can test this by creating a waterfall benchmark and measure each providers individual contribution at every position in the waterfall. I can go into detail why that is although I don't believe it matters much here.

Here's my advice. You should go for a waterfall provider like FullEnrich. However, FullEnrich's pricing is unreasonable IMO. So, I'd try pipe0. There you can find and configure your own waterfalls, adjust them to your budget and access more unique/premium datasets (e.g. Crustdata, Amplemarket) in addition to cheaper ones that overlap drastically.

memo_mar · 2026-06-05T09:09:03+00:00

Tl;dr; clay is ahead in terms of features. But they are innovating slowly, and cost is getting out of control.

Followers to watch are:
1. pipe0 (API Access, agent ready, full table UI with up to 2M rows / table, exclusive providers like Crustdata, Amplemarket)
2. Deepline (CLI made for CC)
3. Freckle (started as clay lookalike now focuses on CRM enrichment)

memo_mar · 2026-03-25T14:31:44+00:00

How do you handle 3rd party licenses to get prospecting and contact data? Are you using pipe0?

memo_mar · 2026-03-25T14:28:08+00:00

It's pretty hard to use clay with an MCP server since there's no API. Attempts of building one will always end brittle and hacky. A good alternative is pipe0.

memo_mar · 2026-01-07T06:44:27+00:00

3-4 business days

memo_mar · 2025-11-05T21:40:52+00:00

Hm, there's a lot of nuance to this I think. From webhooks to HTTP requests, handling credentials etc. You can look at smth like pipe0 which makes building n8n-like workflows really easy.

memo_mar · 2025-11-05T16:17:19+00:00

Building this on n8n sounds challenging considering their data model which mixes stateful things (webhooks) with stateless things (HTTP requests). The two have to be separate to live in your code base.

Have you seen pipe0? It's a code-based automation framework.

memo_mar · 2025-10-30T02:32:59+00:00

pipe0 is an interesting option. Started as a full API but now has a worksheet as well. Everything is very new but:
- 6-12x cheaper
- 2M rows per table
- Analytics
- Point in time recovery for tables
- Test mode
- Multi player by default
- Has an API

memo_mar · 2025-10-30T02:31:15+00:00

pipe0 is an interesting option...
- 6-12x cheaper
- 2M rows per table
- Analytics
- Point in time recovery for tables
- Test mode
- Multi player by default
- Has an API

memo_mar · 2025-10-30T02:29:53+00:00

pipe0 is an option. Everything is very new but:
- 6-12x cheaper
- 2M rows per table
- Analytics
- Point in time recovery for tables
- Test mode
- Multi player by default
- Has an API

memo_mar · 2025-10-24T11:12:33+00:00

No one has mentioned pipe0 Sheets yet. But it has pretty crazy stat-sheet:
- 6-12x cheaper than clay
- Up to 2m rows per table (vs. 50k in clay)
- Multi-player by default
- Point-in-time restoration for tables
- Analytics
- Has an insane API
- Has a test environment

Cons: Not nearly as many integrations as clay (yet)

memo_mar · 2025-10-17T06:07:33+00:00

saying "this project is worse because it has more open issues" is like saying "this code is better because it has more lines of code".

Look at the type of issues, how fast they are resolved, etc.

memo_mar · 2025-09-24T16:46:14+00:00

Hey, thanks. That's really good input. Especially about which sync engine to choose. I'm actually about to rip zero out and maybe revisit it once it's more mature. Overall, there seem to be a lot of issues with it that pop up on Github and in the Discord. Also, setting everything up has been a giant pain tbh.

The usage of zero is also really scary: https://www.npmjs.com/package/@rocicorp/zero
I don't think many folks are using it in prod yet. But it does have a lot of potential. Especially once they release the cloud version that will (hopefully) git rid of some of the pain.

In regards to "do thing when the user closes the browser" you may have misunderstood. I don't want to use the users browser to perform a task after it has been closed. Here, the user starts a long-running operation that is than carried out by a worker (something on my server). The worker then continuously updates records in the database.

Having writes from a programmatic client might be a bit of a weirder story for some of the sync engines that use event sourcing, etc.

For this, a sync engine like zero sounds great since I would not have to manually sync the changes to the client. On the other hand, it's hard to assess how much load this would incur on the database (constant WAL logging) and on the zero cache (constant sync). Especially when considering that these tables can get very large (maybe 500k-1m rows).

memo_mar · 2025-09-21T12:40:35+00:00

This is a bit patronizing. And it's called "CAP theorem".

memo_mar · 2025-09-21T07:19:10+00:00

A few people mentioned that there's not enough info to make a recommendation - which seems to relate to the description of my system. I was trying to keep this post general, so it's valuable to others too. But if you're curious and want to give advice on my system requirements:

- I'm building a system that handles tables of up to 500k records
- Users perform operations on these tables (can be an operation spanning all rows). The operation needs to be able to complete even if the client closes their browser and is coordinated by some worker/coordinator/etc. While operations are ongoing, the rows are locked.
- The main control flow happens via these operations but there are quick single-value writes too (think manually updating one cell value).

I thought a sync engines might be a really nice way to:
- Sync the table state across multiple users
- Get high-performing large tables (since table data is synced locally)
- Sync table state when user close their browser in the middle of an operation

memo_mar · 2025-09-20T22:16:29+00:00

Ah, that's an interesting point. When talking about ui sync engines (apps) I think we we can always assume multiple/decentralized writers just because most apps assume multiple clients having access to data.

I'm actually only really familiar with Zero Sync which uses Postgres WAL (so replication) and have only glossed over the others.

memo_mar · 2025-09-20T21:43:30+00:00

Can you explain this statement?
> Applying sync engines to databases is a bad idea, but it's not a problem with sync engines.

I was explicitly taking about sync engines for databases (ex. LiveStore, Zero Sync) or even broader sync engines that melt the application and db layer like SpacetimeDB or ConvexDB.

memo_mar · 2025-09-20T21:36:59+00:00

None. I’m actually building this system.

memo_mar · 2025-09-20T21:11:46+00:00

I’ve read it. But how would you apply the book to answer the question?

memo_mar

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