Folk

Next-generation CRM, for you and your team

INTEREST SCORE 1,190
DISCUSSIONS 328
ENGAGEMENT 0.28
LAUNCHED May 2022
TYPE B2B
Productivity Tech No-Code

Dora AI (Alpha)

Generating powerful websites, one prompt at a time

INTEREST SCORE 1,127
DISCUSSIONS 361
ENGAGEMENT 0.32
LAUNCHED May 2023
TYPE B2B
Design Tools Artificial Intelligence No-Code

Two No-Code products. Different launch trajectories. Different engagement profiles. The side-by-side below covers the metrics that matter.

Category Overlap

CategoryFolkDora AI (Alpha)
Artificial Intelligence - Yes
Design Tools - Yes
No-Code Yes Yes
Productivity Yes -
Tech Yes -

What the Community Said

On Folk

Been using Folk from the early stages and it's amazing how it improved and keeps on improving. It becomes more and more enjoyable using it! Also, big shoutout to Julie (Customer Success Manager) who's the best whenever we need help or have questions. Best of luck and keep up the good work guys! πŸ˜€πŸ”₯❀️

β€” [REDACTED]

Super cool! Playing with it and have a few questions. 1. Security. I can’t find anything about data security. The tool really seems to shine when connecting up years of emails but what exactly can your team say in terms of data storage and security? I’m assuming you’re not end to end or you’d say so...

β€” [REDACTED]

I'd probably never use it but it looks cool. Congrats on the launch and nice promo video also! πŸ™Œ

β€” [REDACTED]

On Dora AI (Alpha)

Hello Product Hunt! Dora is a team held together by the belief that everyone should have the power to bring their craziest ideas to life. By combining the brilliance of generative AI with intuitive no-code tools, we hope to empower every team and individual with unlimited design flexibility, beyond ...

β€” [REDACTED]

Cant wait for this to drop, speaking of does anyone know the expected date we will be able to use it?!

β€” [REDACTED]

So, i'm considered as supporter when i click upvote?

β€” [REDACTED]

The Numbers

Folk leads on raw interest score. Dora AI (Alpha) leads on engagement ratio. That split is worth paying attention to. Folk attracted more initial eyeballs, but Dora AI (Alpha)'s audience engaged deeper. For most buyers, engagement ratio is the better signal.

These products share 1 categories: No-Code. Moderate overlap suggests they target related but distinct use cases.

Folk is also tagged in Productivity, Tech, which Dora AI (Alpha) isn't. That suggests Folk positions itself more broadly or targets an adjacent audience.

Dora AI (Alpha) has unique category tags in Artificial Intelligence, Design Tools. Different positioning can mean a different buyer profile, even within the same space.

Launch Context

Folk launched May 2022. Dora AI (Alpha) launched May 2023. Folk has had more time to iterate and build a user base. Dora AI (Alpha) had the advantage of launching into a more defined market with clearer user expectations.

Engagement Breakdown

Folk has a 0.28 engagement ratio (average), based on 328 discussion threads across 1,190 interest points. Middle of the pack for No-Code. Enough discussion to suggest real usage, but not the kind of buzz that indicates a category-defining product.

Dora AI (Alpha) has a 0.32 engagement ratio (strong), based on 361 discussions across 1,127 interest points. Strong engagement suggests an audience that tested the product and came back to talk about it.

Position in No-Code

Within the No-Code category (1,055 total products), Folk ranks #5 and Dora AI (Alpha) ranks #6 by interest score. Folk sits in the top 10 for the category.

Folk is in the top 0% of No-Code by interest. Dora AI (Alpha) is in the top 1%.

Which One Fits You

Pick Folk if you want the product with the larger community behind it; you value stability and a longer track record; you need something that also covers Productivity.

Pick Dora AI (Alpha) if community size matters less to you than engagement depth; sustained discussion and active users are your priority; you prefer newer tools with fresher tech; you need something that also covers Artificial Intelligence.

What Each Product Does

Folk: folk is the next-generation CRM: a collaborative workspace for all your team's relationships. βš™οΈ Centralize all your contacts in one place. πŸ—‚ Organize your contacts into groups and build actionable views. ⚑️ Activate your contacts as a team. πŸ‘‰ https://www.folk.app/

Dora AI (Alpha): With Dora AI (Alpha), you can generate powerful websites with a single prompt, fueled by AI 3D animation. 🌟 Text to website 🧊 Generative 3D interaction πŸ€– Advanced AI animation

Other Products in This Space

These products also compete in the No-Code category:

Pythagora 2.0 β€” World's first all-in-one AI dev platform (Interest: 697, Engagement: 0.08)

Peaka β€” Modernizing the 'modern' data stack with Zero-ETL (Interest: 551, Engagement: 0.46)

AutoFlow Studio β€” Ship faster and test smarter with simplified AI-powered QA (Interest: 478, Engagement: 0.08)

Noloco β€” Build truly custom web apps faster, without code (Interest: 449, Engagement: 0.30)

WeWeb 2.0 β€” The only no-code frontend builder that is backend agnostic (Interest: 406, Engagement: 0.57)

SeaTable 5.0 β€” No-code database and app building platform (Interest: 383, Engagement: 0.15)

Frequently Asked Questions

Each product's data reflects its launch period. The comparison shows both products' engagement metrics from when they launched. The build date at the bottom of the page shows when the index was last refreshed.

Not yet. Current comparisons use launch-period data only. Post-launch tracking is on our roadmap.

Generally, yes. Engagement ratio is hard to fake. A product can generate artificial interest, but sustained discussion threads require people who actually used the product and had something to say about it.

Automatically. We compare products that share at least one category and have similar interest scores. Products too far apart in traction don't make for useful comparisons.

No. Interest is launch-day attention. Engagement ratio is a better quality signal. The product with more discussions per interest point usually has stronger product-market fit.

How directly these products compete. Three or more shared categories means they're going after the same user. One shared category means they approach the space from different angles. Zero overlap and they probably shouldn't be compared.

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