
Tricount
Settle Up
Splid
Spliit
YNAB
ihatemoney
Splitser
Splitwise is a free tool for friends and roommates to track bills and other shared expenses, so that everyone gets paid back. On the web, iPhone, and Android!

Clearbit
Apollo.io
ZoomInfo
AeroLeads
Proxycurl by Nubela
Hunter.io
Coresignal
Use our dataset of 1.5 billion unique person profiles to build products, enrich person profiles, power predictive modeling/AI, analysis, and more. We work with technical teams as their engineering focused people data partner.

Which is more popular?
Based on our record, People Data Labs seems to be more popular. It has been mentioned 6 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | splitwise.com | peopledatalabs.com |
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In their own words, as submitted to SaaSHub.


No description of Splitwise yet.
Our focus is on enabling companies to build out their tools, product, or platform. With over 150 data points and 1.5 billion person profiles, we provide Enrichment API and Data License to data companies. Our broad data coverage includes data for Marketing Tech, Sales Tech, Fraud, Education, and...
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of People Data Labs yet.
Walkthroughs and reviews on video.
Splitwise - iPhone App Review! [2020]
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Splitwise and People Data Labs. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Splitwise is among the most commonly used group payment apps that can easily keep a systematic record of all your informal debts including restaurant bills, travel expenses, cost of accommodation, and much more. With...
Splitwise employs an intelligent algorithm to calculate the exact amount owed by each user. It shows who paid for what, how much amount was paid by each member, and any outstanding balances. Furthermore, the...
For example, shared items like appetizers would be split among the entire group or just a few people in the group. The app can handily accommodate large parties by allowing you to add up to 10 people to each group....
The biggest strength of People Data Labs is its search function. You can identify and filter for profiles that match a constraint.However, if all you require is fresh data and enrichment of profiles, use Proxycurl....
Recommendations tracked on public social media and blogs since March 2021.


Tracking Splitwise since Mar 2021.
Datagma is the tool I keep coming back to for this. Their /enrich endpoint accepts a personal email, cross-references it against social graph data — primarily LinkedIn activity, public profiles, and email correlation patterns — and... - Source: dev.to / 6 months ago
A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns... - Source: dev.to / 6 months ago
The real conclusion I'd push back on from every vendor comparison I've read: there is no single tool that solves reverse lookup at 80%+ accuracy with clean data. The waterfall is the answer. The question is whether you build it yourself... - Source: dev.to / 6 months ago
When comparing Splitwise and People Data Labs, you can also consider the following products.


Clearbit provides Business Intelligence APIs
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SETTLE UP is an indispensable app for friends and flatmates who need to keep track of shared bills...
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Apollo’s predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
Compare Apollo.io to Splitwise or People Data Labs:


ZoomInfo is a B2B database providing detailed business information on people and companies.
Compare ZoomInfo to Splitwise or People Data Labs: