Software Alternatives & Startups

Modash.io VS mbuzz.co

Compare Modash.io VS mbuzz.co and see what are their differences

Modash.io

Search every influencer. Analyze every audience. Instantly.

Rating
0 reviews
mbuzz.co

Multi-touch attribution that shows the model behind the number. 8 models compared side-by-side, a SQL-like DSL to write your own, and open-source SDKs for Ruby, Node, Python, and PHP. Runs server-side. Your data, not theirs.

Rating
0 reviews
Pricing
Freemium
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Modash.io seems to be more popular. It has been mentioned 7 times since March 2021.

social mentions
7 vs 0
Influencer Marketing popularity
100% vs 0%
alternatives listed
240+ vs 12

Base details

Website, pricing, platforms and company facts side by side.

Modash.io
mbuzz.co
Website modash.io mbuzz.co
Pricing
Platforms —
Web REST API Ruby Python PHP Node JS Shopify +4
Company Startup from Estonia · 1 - 9 employees Startup from Australia · 1 - 9 employees · 2026
Listed in

About Modash.io and mbuzz.co

In their own words, as submitted to SaaSHub.

Modash.io
mbuzz.co

No description of Modash.io yet.

mbuzz is multi-touch attribution for technical marketers who've stopped trusting their dashboard. Here's the thing nobody selling you attribution wants to say out loud: every tool runs a model under the hood, and the number it reports isn't "the data." It's that model's opinion of the data. Same...

Read more about mbuzz.co

Features and specs

What each product offers, as listed by its team.

Modash.io 5 features
mbuzz.co 5 features
  • Comprehensive Database
    Modash offers access to a large and comprehensive database of influencers across various social media platforms, making it easier to find the right influencers for specific campaigns.
  • Advanced Filtering
    The platform provides advanced filtering options, allowing users to narrow down their search based on various criteria such as engagement rates, audience demographics, and content niches.
  • Integrations
    Modash integrates with several popular marketing and analytics tools, which helps streamline workflows and consolidates data into a single platform.
  • User-Friendly Interface
    The platform features a user-friendly interface that simplifies the process of searching, analyzing, and managing influencers.
  • Campaign Management
    Modash includes campaign management tools that assist in tracking the performance of influencer campaigns, aiding in the assessment of ROI and optimization of future efforts.

Possible disadvantages

  • Cost
    Modash can be expensive, especially for small businesses or individual marketers with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, some users may experience a learning curve when first getting acquainted with the advanced features and analytics tools.
  • Platform Limitations
    While comprehensive, the database may not cover all influencers globally, especially those who are emerging or not heavily active on mainstream platforms.
  • Data Accuracy
    As with any platform that aggregates data from multiple sources, there may be occasional discrepancies or outdated information that could impact decision-making.
  • Dependency on External Data
    Modash relies on data from social media platforms, which means any changes to platform APIs or data sharing policies can potentially affect the availability and reliability of the information provided.
  • Multi-model attribution
    8 models side-by-side: first-touch, last-touch, linear, time-decay, position-based, Markov, Shapley, data-driven
  • Attribution DSL
    SQL-like language for editing / writing your own attribution models
  • Lossless tracking
    Server-side capture of 30-40% more touchpoints than client-side trackers lose to ad blockers
  • LTV / CLV mode
    Toggle attribution reports between transaction count and customer lifetime value views
  • Open-source SDKs
    Ruby, Node, Python, PHP, Shopify, server-side GTM

Analysis

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

Modash.io
mbuzz.co

Overall verdict

  • Overall, Modash.io is highly regarded among marketing professionals for delivering reliable and insightful data that aids in making informed decisions about influencer partnerships.

Why this product is good

  • Modash.io is considered a valuable platform for influencer marketing as it provides extensive tools for discovering and analyzing social media influencers. Users appreciate its comprehensive database, which allows them to search influencers by demographics, audience data, and engagement metrics, improving the efficiency and effectiveness of influencer marketing campaigns.

Recommended for

    Modash.io is recommended for brands, marketing agencies, and marketers who are looking to optimize their influencer marketing efforts by leveraging detailed and actionable data about influencers and their audiences.

Overall verdict

  • I don't have verified, up-to-date information about mbuzz.co specifically, so I can't confirm its quality, legitimacy, or reputation. Before using it, I'd recommend checking independent reviews, verifying business registration details, looking for user testimonials on third-party sites, and checking domain age and trust signals via tools like WHOIS or Trustpilot.

Why this product is good

  • No verified data available on this specific domain's services, pricing, or customer satisfaction
  • Unable to confirm business legitimacy, ownership, or operational history
  • Cannot assess user reviews, complaint patterns, or refund/support track record without current data
  • Website content and offerings may have changed since any prior indexing, making assessment unreliable

Recommended for

  • Users willing to do independent due diligence such as checking Trustpilot, Reddit, or BBB reviews
  • Those comfortable verifying site security (HTTPS, privacy policy, contact information) before engaging
  • Anyone considering a purchase or signup who should start with small transactions to test reliability
  • Users who can cross-check company registration and reviews through third-party verification tools

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Modash.io
mbuzz.co
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Modash.io and mbuzz.co.

What makes your product unique?

mbuzz.co's answer:

Every attribution tool runs a model under the hood and reports its number like it came from physics. mbuzz is the only one that shows the model. Eight of them side by side, plus a SQL-like DSL to edit or write your own. You stop arguing about which channel works and start arguing about which model you should trust.

Why should a person choose your product over its competitors?

mbuzz.co's answer:

Dreamdata, HockeyStack, and Northbeam all ship with a proprietary "data-driven" model you can't see inside. You pay $1,400–$5,000 a month to trust their math. mbuzz runs eight models you can inspect, lets you edit the logic in a SQL-like DSL, keeps your data exportable on every plan, and starts at $0. For a $1–100M company spending $20K–$1M a month on ads, that's the difference between renting an attribution tool and owning an attribution stack.

How would you describe the primary audience of your product?

mbuzz.co's answer:

Technical marketers, marketing ops, growth engineers, and data-savvy CMOs at startups and mid-market SaaS, DTC, fintech, and healthtech companies spending $20K–$1M a month on paid media. Specifically the ones who've stopped trusting their dashboard — who want to audit the math themselves, not hear "trust our algorithm."

What's the story behind your product?

mbuzz.co's answer:

Years of wrestling with the limitations of various existing solutions, platform-inflated ROAS, and enterprise attribution tools that cost more than the budgets they were measuring. Every tool I tried picked one model and hid the math. I wanted to compare models, argue with them, and write my own rules — so I built one. mbuzz is the attribution platform I wished existed when I was trying to explain channel performance to a CFO who didn't believe the Meta pixel.

Which are the primary technologies used for building your product?

mbuzz.co's answer:

Ruby on Rails (backend + dashboard), PostgreSQL, Sidekiq for background jobs, Stimulus/Turbo for the frontend. Open-source SDKs in Ruby, Node, Python, and PHP. Deployed via Kamal on DigitalOcean.

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Modash.io no reviews yet
mbuzz.co no reviews yet

We have no reviews of mbuzz.co yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Modash.io 7 mentions
mbuzz.co 0 mentions
  • Ask HN: Who is hiring? (October 2026)
    Modash.io | Senior Product Engineer | Remote (Europe) | Full-time | €75k–110k | https://modash.io Modash helps brands find, manage, and pay creators - and helps creators earn a living. The product looks simple on the surface. Underneath,... - Source: Hacker News / 2 days ago
  • Ask HN: Who is hiring? (September 2023)
    Http://modash.io/ | Senior Product Engineer | Remote | Full-time | Europe Hey there! Meet Modash.io We're a fun and dynamic startup shaking up the influencer marketing industry. Our goal? To help brands and creators create awesome... - Source: Hacker News / about 3 years ago
  • Ask HN: Who is hiring? (May 2023)
    [Modash.io](http://modash.io/) | Senior Backend Engineer | Remote | Full-time | Europe Hey there! Meet Modash.io We're a fun and dynamic startup shaking up the influencer marketing industry. Our goal? To help brands and creators create... - Source: Hacker News / over 3 years ago

View more

Tracking mbuzz.co since Apr 2026.

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