Apifier (now Apify) Pitch Deck (2016): 15-Slide Seed Deck

See all 15 slides of the Apifier pitch deck — a 2016 Seed deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

The July 2016 Apifier pitch deck is a lean, technical-first presentation used to raise a $250,000 seed round. Following their participation in the inaugural Y Combinator Fellowship in Fall 2015, founders Jan Čurn and Jakub Balada focused on the technical limitations of existing web scrapers. The deck reports $2,495 in Monthly Recurring Revenue (MRR) and a user base of 2,800. While the visual design is minimalist—relying on bulleted lists rather than data visualizations—the deck clearly defines a dual-revenue model consisting of SaaS subscriptions ($19–$999/month) and professional services. It…

Key takeaways

Introduction

The Apifier pitch deck from July 2016 represents a classic early-stage technical founder presentation. At the time, the company was fresh out of the Y Combinator Fellowship program and looking to bridge the gap between a side project and a scalable SaaS business. The deck is functional, focusing heavily on the technical capabilities of the product and the pedigree of the founders, while keeping financial projections and market sizing to a minimum.

Slide 1: Title Slide

The cover slide introduces the company name, Apifier, and a clear, one-sentence value proposition: "Web crawler that works on every website." The inclusion of the date, July 2016, provides immediate context for the metrics that follow. The branding is simple, featuring a cartoon robot, which suggests a developer-friendly, approachable tool rather than a stiff enterprise solution.

Slide 2: Team

Apifier leads with its team, which is a common strategy for technical startups where the 'how' is as important as the 'what.' The slide highlights two founders, Jan Čurn and Jakub Balada. Jan Čurn is noted for a PhD in AI from Trinity College Dublin and experience at Oracle. Jakub Balada holds a PhD in Economics and worked as a solution architect at Siemens. Crucially, the slide mentions they met 15 years ago at Charles University, establishing a long-term working relationship. They also cite their participation in the inaugural Y Combinator fellowship program (Fall 2015) , which serves as a significant trust signal for Silicon Valley investors.

Slide 3: Problem

The problem slide identifies a fragmented market. It lists three primary pain points:

"Point and click" and plain HTML scrapers only work with simple websites. · Consulting companies are too expensive. · Developer libraries are too low-level.

This positioning suggests that Apifier is the "Goldilocks" solution—more powerful than basic tools, cheaper than consultants, and easier to use than raw code libraries.

Slide 4: Business Model

The business model is straightforward SaaS. It lists monthly subscriptions ranging from $19 to $999 . Interestingly, it also includes a service component: consulting fees for crawler configuration ($100 - $300) . This indicates that in 2016, the product still required some manual setup for customers. The slide also teases future scalability through a marketplace with a 20% fee , though this is explicitly labeled as "TBD."

Slide 5: Metrics

This slide provides the hard data to back up the pitch. As of July 2016, Apifier had:

2,800 users and 5,100 crawlers. · 7% weekly revenue growth. · $2,495 MRR from subscriptions. · $496 in July fees for consulting.

While the MRR is low in absolute terms, the 7% weekly growth rate is the metric intended to catch an investor's eye, as it suggests rapid adoption.

Slide 6: Marketing Approach & Strategy

The marketing slide reveals a highly tactical, developer-focused growth strategy. It mentions "PR stunts" and "public APIs," but the most interesting points are the "hacks." Specifically, they mention a "freelancer.com/upwork.com hack" and a "direct email marketing (github.com hack)." This implies the team was actively scraping these platforms to find people looking for scraping services and pitching them Apifier as a solution. For non-technical users, they planned to use Zapier and IFTTT integrations.

Slide 7: Competitive Advantages

This slide doubles down on the technical moat. It specifies that the crawler navigates complex and dynamic websites , specifically mentioning AJAX, complex pagination, and infinite scroll . It also notes the ability to perform actions like authentication, form submission, and online purchases . By highlighting these features, the founders are addressing the specific technical failures of their competitors mentioned on Slide 3.

Slide 8: Financial / The Ask

The final slide in this set contains the "Ask." The company was looking for a $250,000 seed investment . The stated goals for the funding were to speed up product development and user acquisition. They also note that they expect to reach "ramen profitability" (where the business earns just enough to pay the founders' basic living expenses) within the next few months, suggesting a low burn rate and a relatively safe investment for a seed-stage participant.

What Apifier Did Well

The deck excels at defining a specific technical niche. By explicitly naming AJAX and infinite scroll as hurdles their competitors can't clear, they prove they understand the technical landscape of 2016 web development. The team slide is also a strong point; two PhDs who have worked together for 15 years and gone through a YC program is a very high-quality signal for a $250k seed round. The transparency regarding their "hacks" for user acquisition shows a scrappy, growth-oriented mindset that investors typically appreciate in early-stage founders.

What Was Omitted

The most glaring omission in this 8-slide selection is a clear Market Size (TAM/SAM/SOM) slide. While they mention the problems with consultants and low-level libraries, they don't quantify how large the web scraping or data extraction market is. There is also no Competition slide that names specific rivals (e.g., Import.io or Scrapinghub), which were active at the time. Finally, the deck lacks Unit Economics ; while they show MRR, they don't show Customer Acquisition Cost (CAC) or Lifetime Value (LTV), though this is common for a seed deck at this revenue level.

Founder's Playbook: What to Copy

Founders should look at Slide 5 (Metrics) as a model for honesty. They don't hide the fact that their revenue is small ($2,495 MRR); instead, they highlight the growth rate (7% weekly). In early-stage fundraising, the slope of the line is often more important than the starting point. Additionally, the use of a "Team" slide that emphasizes long-term collaboration is a powerful way to de-risk the investment. Investors fear founder breakups; 15 years of history effectively eliminates that concern. Finally, the "Problem" slide (Slide 3) is a masterclass in succinctness—it identifies exactly who they are replacing and why those current options fail, using only three bullet points.

Frequently asked questions

What was the primary goal of the Apifier pitch deck?
The primary goal was to secure $250,000 in seed funding. According to Slide 8, these funds were intended to 'speed up product development and user acquisition.' At the time, the company was nearing 'ramen profitability,' suggesting the capital was for growth rather than survival.
How did Apifier differentiate itself from other web scrapers?
Apifier focused on technical complexity. Slide 7 notes that unlike 'point and click' tools, their crawler handles AJAX, complex pagination, infinite scroll, and can perform actions like form submissions and online purchases. They positioned themselves between low-level developer libraries and high-cost consulting firms.
What were the key traction metrics reported in 2016?
Slide 5 lists 2,800 users and 5,100 crawlers. Financial traction included $2,495 in subscription MRR and $496 in consulting fees for July. Most notably, they reported a 7% weekly revenue growth rate, which is a significant indicator of early-stage momentum.
What was the background of the founding team?
The team consisted of two PhDs: Jan Čurn (AI, Trinity College Dublin) and Jakub Balada (Economics, Prague). Slide 2 emphasizes their long-term professional relationship, noting they met 15 years prior at Charles University and had previously run a software company together.
What was the proposed business model for scaling?
Beyond direct SaaS subscriptions and consulting, Slide 4 mentions a 'marketplace' model with a 20% fee. This was marked as 'TBD,' indicating a plan to allow third-party developers to monetize their own crawlers on the Apifier platform, shifting from a service to a platform play.
Cover slide of the Apifier (now Apify) pitch deck — Seed 2016
Apifier (now Apify) pitch deck, slide 1 (2016)

Apifier (now Apify) pitch deck: the facts

Company
Apifier (now Apify)
Year
2016
Stage
Seed
Slides
15
Sector
Developer Tools / Web Scraping
Deck type
Fundraising
Outcome
Raised $250k Seed (Source: Slide 8)
Headquarters
Prague, Czech Republic (Source: Slide 2)

Apifier (now Apify) pitch deck PDF

The full Apifier (now Apify) deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the Apifier (now Apify) pitch deck was used for

This is Apifier’s (later renamed Apify) 15‑slide **seed pitch deck from mid‑2016**, used after the founders completed the Y Combinator Fellowship program in Mountain View and returned to the Czech Republic. The deck pitches a **cloud-based web crawling and data extraction service**, positioned as a developer tool and marketplace for web scraping solutions. At the time, the company was seeking a seed round on the order of roughly a few hundred thousand dollars to turn the Apifier prototype into a scalable SaaS platform; external data shows a seed round of about $246k closed in late 2016. The deck focuses on the ubiquity of web data needs (e‑commerce, real estate, HR/sales, news), the limitations of existing scraping tools, and their solution of a simple JavaScript-based crawler-as-a-service with an emerging marketplace for non‑technical users.

Business model: Cloud-based web scraping and web automation platform that lets developers and enterprises turn websites into APIs and run crawlers/serverless automation in the cloud.

Round
Seed
Year
2016
Investors
Reflex Capital is listed as a seed investor in Apify in later funding data tables and round descriptions.
Founded
2015
Founders
Jan Čurn, Jakub Balada
Headquarters
Prague, Czech Republic
Industry
Developer tools / Web data platform / Web scraping and automation

Raised: Approximately $246,000 seed round completed on 25 October 2016, per PitchBook’s deal table.

Total funding: Apify states that it raised seed investments totaling about $0.5M until 2019, and has since bootstrapped; later external data sources report total capital raised of around $3–3.2M including a 2024 seed round.

Use of funds as presented: Apify’s about page notes that after raising a seed investment in 2016, the team started building a company around its product, implying the funds were used to grow the team and turn the Apifier service into a scalable web data platform headquartered in Prague.

What happened after the Apifier (now Apify) deck

Following its 2015 launch during the Y Combinator Fellowship, Apifier (renamed Apify) raised a seed investment after relocating to Prague in 2016, with external data indicating a completed seed round of about $246k that year. The company has continued operating and growing, later raising additional seed funding, including a €2.8M round in 2024, and is now a recognized web data platform with a siza

What the Apifier (now Apify) deck got right

What could have been stronger

How an investor would read this deck

What draws attention

Risks that stand out

Questions this deck invites

What founders can take from the Apifier (now Apify) deck

Apifier (now Apify) pitch deck: common questions

What is Apifier/Apify and when was it founded?

Apifier (later renamed Apify) was founded in **2015** by Jan Čurn and Jakub Balada, initially as a web crawler launched from a hacker house in Mountain View during the Y Combinator Fellowship program. The company provides a cloud platform for web scraping and automation, letting users run crawlers and turn websites into APIs.

How much did Apifier/Apify raise in its 2016 seed round?

According to PitchBook, Apify completed a **seed round of approximately $246,000** on **25 October 2016**, categorized as a startup-stage seed round. Apify’s own later statement notes that across its early history it raised about **$0.5M in seed investments until 2019** before bootstrapping afterwards.

What role did Y Combinator Fellowship play in Apifier/Apify’s early development?

Apify’s founders, Jan Čurn and Jakub Balada, joined the **Y Combinator Fellowship** in 2015 and launched Apifier publicly in October 2015 from Mountain View, California. After the fellowship, they moved back to the Czech Republic in 2016 and raised a seed investment to start building a company around the product.

What solution and use cases does the 2016 Apifier seed deck emphasize?

The 2016 seed pitch deck presents Apifier as a **cloud-based service** where users can extract structured data from any website using a few lines of JavaScript, along with a planned **marketplace** where non‑technical users can hire developers to build scrapers for them. It highlights use cases in e‑commerce, real estate, HR/sales, website analysis, and news media monitoring.

Where is Apify based today, and has it raised further funding after the 2016 seed round?

Apify is headquartered in **Prague, Czech Republic**, where the founders relocated after their time in Y Combinator Fellowship. The company later raised additional seed funding rounds, including a **€2.8M seed round in April 2024** led by J&T Ventures with participation from Reflex Capital.

Sources

Funding and outcome facts on this page were researched on 2026-08-22 from the pages below.

Apifier (now Apify) pitch deck slides

Apifier (now Apify) pitch deck slide 1 of 15
Apifier (now Apify) pitch deck — slide 1 of 15
Apifier (now Apify) pitch deck slide 2 of 15
Apifier (now Apify) pitch deck — slide 2 of 15
Apifier (now Apify) pitch deck slide 3 of 15
Apifier (now Apify) pitch deck — slide 3 of 15
Apifier (now Apify) pitch deck slide 4 of 15
Apifier (now Apify) pitch deck — slide 4 of 15
Apifier (now Apify) pitch deck slide 5 of 15
Apifier (now Apify) pitch deck — slide 5 of 15
Apifier (now Apify) pitch deck slide 6 of 15
Apifier (now Apify) pitch deck — slide 6 of 15

What each slide of the Apifier (now Apify) pitch deck says

Slide 2

Everyone needs data from the web E-commerce - monitoring of competitors' prices, new product/discounts/restocks notifications, product aggregators, automated shoppers Real estate - market analysis, new offer notifications HR, sales - contacts and job listings extraction Website analysis - broken link detection, SEO analysis News - monitoring of online media, data for sentiment analysis

Slide 3

Jan Curn Holds a PhD in artificial intelligence from Trinity College Dublin. Used to build software for various companies including Oracle and co-founded VirtualRig™ Studio, a computer graphics software company. Jakub Balada Holds a PhD from the University of Economics in Prague where he adapted agile methods for complex environments. Worked at Siemens as a solution architect and scrum master. We met at Matfyz (Charles University) college 15 yeas ago, ran a small software company together and went through inaugural Y Combinator fellowship program with Apifier (Fall 2015)

Slide 4

MARKET e there are 250.000.000 active websites (growing 35% p.a.) only 15.000 of them have an API

Slide 5

PROBLEM « "point and click" and plain HTML scrapers only work with simple websites e consulting companies are too expensive » developer libraries are too low-level

Slide 6

SOLUTION « a cloud-based service where users can extract structured data from any website using a few simple lines of JavaScript » marketplace where non-technical users can find a developer to do it for them (to be developed)

Slide text above is read directly from the Apifier (now Apify) deck PDF embedded on this page.

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