
melink.to
Blinq.me
Evercard.co
KADO
Make remote teamwork easier, talk with single click

Airtable
SQL Chat
LSD
Outerbase
mlsql
Fieldbook
Turso
Communicate with databases like a human

Which is more popular?
Based on our record, Tappy seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | tappy.so | friendlydata.io |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
Walkthroughs and reviews on video.
The Tappy Card (The Ultimate Socials Card) Review and My thoughts?
More videos
No FriendlyData videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Tappy and FriendlyData. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


With the rise of remote work and freelancers, we are experiencing increasing difficulty communicating effectively with our team. We are building a Clubhouse for remote teams: Drop-in audio for work. Start a quick conversation with a... - Source: Hacker News / over 5 years ago
Tracking FriendlyData since Mar 2021.
When comparing Tappy and FriendlyData, you can also consider the following products.

Create and share your free digital contact card
Compare melink.to to Tappy or FriendlyData:

Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
Compare Airtable to Tappy or FriendlyData:

Create your free digital business card in seconds. Recipients don’t need the Blinq app to receive your card. Raise your networking game today.
Compare Blinq.me to Tappy or FriendlyData:

Chat-based SQL Client and Editor for the next decade
Compare SQL Chat to Tappy or FriendlyData:

The NFC-enabled business card that lets you network without limits.
Compare Evercard.co to Tappy or FriendlyData:
