FeedFind: A Google-Quality Search Engine for LinkedIn Posts

The LinkedIn search LinkedIn won't build - semantic, filterable, historical, and fast to use.

Idea Overview

FeedFind is a dedicated search engine that indexes the public content of LinkedIn — posts, comments, articles — and exposes a fast, semantic, filter-rich search interface that behaves like Google or Perplexity rather than LinkedIn's native search box. Users type natural-language queries ("recent posts where SaaS founders complain about Stripe pricing changes" or "carousel posts about AI agents that got over 500 reactions in the last 30 days") and get ranked, deduplicated results with full filter controls — author seniority, industry, company size, post format, date range, engagement floor, sentiment, and language. It serves anyone who currently fights LinkedIn's search box: marketers researching topics, salespeople looking for buyer conversations, analysts tracking narratives, recruiters checking candidate writing, journalists sourcing quotes, founders doing competitive research, and professionals just trying to find that one post they remember from three months ago. The recurring revenue case is strong because search is a habit-forming utility — once a user finds it once, they bookmark it.

Index /

AI Business Idea

Type of Business and Category

B2C-leaning SaaS, with a B2B power-user tier. Category: search engine, productivity tool, professional research. Freemium with usage-based gating. Think "Google for LinkedIn content" as the positioning, similar to how Hacker News Algolia search is to HN comments — better than the source's own search.

Competitor Landscape

Surudo's free semantic post search bot is the closest direct competitor but is positioned as a freebie lead-gen for their broader GTM bot suite, with no real product investment. Taplio's viral-post search is good but limited to the top ~10% performing posts in a curated database — it's a content-inspiration tool, not a true search engine. Sales Navigator does keyword search across a small posts subset but with terrible filtering and 2,500-result hard caps. LinkedIn's own search has the technical capability (per their late-2024 semantic capability paper) but the product surface is buried, lacks filters, decays results within weeks, and is fundamentally not the company's strategic priority. On Reddit (r/linkedin, r/sales, r/marketing), Quora, and X, there are recurring threads going back years asking "how do I find old LinkedIn posts" — a clear unmet-need signal. The market gap is unusually wide for a category this obvious; the reason it hasn't been built is the data acquisition challenge, not the demand.

Demand Analysis

"LinkedIn search," "search LinkedIn posts," "find LinkedIn post," and "LinkedIn post search" pull collectively over 100,000 monthly searches on Google.
"Find old LinkedIn post" alone is a long-tail evergreen with thousands of monthly searches and rising.
Google Trends shows steady upward interest in "LinkedIn content" and "LinkedIn search" queries through 2024–2026.
Five-year-old Reddit and Quora threads about LinkedIn search frustrations still get monthly comments — a strong durability signal.
The macro tailwind is the rise of AI-powered search (Perplexity, Claude search, You.com) raising the bar for what users expect from any search experience; LinkedIn's native search now feels prehistoric by comparison. Surudo, despite zero marketing spend visible, has built enough demand to position the bot as a top-of-funnel asset — proof that even a janky first-pass version draws traffic.

Ideal Customer

Three converging segments. (1) Solo professionals who use LinkedIn heavily — sales reps, recruiters, content marketers, researchers, journalists, consultants — age 28–50, income $80K–$300K, who lose 15+ minutes per LinkedIn search task. (2) Personal-brand creators and ghostwriters — age 25–45 — who need to research what's working and find prior posts on a topic. (3) Power-user analysts at agencies, VC firms, and corporate strategy teams who need to search the content layer for competitive intelligence. Find them on LinkedIn itself, X (especially the marketing and sales operator subcultures), Hacker News, r/linkedin, r/sales, r/recruiting, r/marketing, r/copywriting, Pavilion, Superpath, Lenny's Slack, and indie tooling communities like Indie Hackers and Product Hunt. Offline: SaaStr, INBOUND, Content Marketing World, RevGenius events.

Business Models and Financials

Recommended Tool Stack

This is a technically demanding idea, but doable solo with the right stack.

Data layer: a hybrid of Apify LinkedIn Post Search Scraper and Bright Data Post API for ongoing crawl, plus a buyer-side approach where logged-in users contribute their own feed view via a browser extension (a clever data-acquisition flywheel that sidesteps some of the scraping cost and legal exposure).

Storage: Postgres with pgvector or a dedicated vector DB like Qdrant or Pinecone for semantic embeddings.

Search infrastructure: Typesense or Meilisearch for the lexical layer, embedding-based retrieval for semantic layer, then a Claude Sonnet 4.6-powered reranker for the top 100 results — this is a rough mirror of LinkedIn's own published two-layer architecture, but exposed as a real product.

App: Next.js + Vercel, deployable solo.

Embedding model: OpenAI text-embedding-3-large or Cohere embed-v3 for cost-efficiency at scale.

Claude Code and Cursor for the build itself. Stripe for billing. PostHog for analytics. The MVP is buildable in 12–16 weeks for a strong solo developer; the data layer is the hard part, not the search engine itself.

GTM, Sales and Marketing Strategy

Three-pronged launch.

(1) Programmatic SEO at massive scale — generate landing pages for the long tail "LinkedIn posts about [topic]" for tens of thousands of topics, each pre-populated with the top 10 indexed results. This is a clone of how Glassdoor, Indeed, and TripAdvisor built their early traffic.

(2) Launch on Hacker News, Product Hunt, and r/SideProject with the angle "I built the LinkedIn search that LinkedIn won't" — that framing is catnip for the developer/builder audience and primes virality.

(3) Partner with the LinkedIn ghostwriter and creator community — give Lara Acosta, Justin Welsh's network, Matt Barker, Ship 30 alumni, and 50 other top creators free Power-tier access in exchange for usage and shoutouts.

Specific communities: r/LinkedIn, r/sales, r/marketing, r/recruiting, r/copywriting, r/SideProject, Hacker News, Indie Hackers, Pavilion, Superpath, Demand Curve, Lenny's Slack, Content Mavericks.

Cold outreach to journalists who cover LinkedIn (Insider, Business Insider, The Information) — a "Google for LinkedIn" angle is highly press-friendly.

Critical defensive note: build the legal positioning carefully (public posts only, robots.txt respect where applicable, clear takedown process) because LinkedIn will pay attention as the product gains traction — the Proxycurl shutdown is the cautionary tale to learn from.

We help build and launch AI-first systems for startups to Fortune 50 companies. From idea to reality - we design, develop and deploy AI agents, automations, apps, sites, and tools to accelerate your company. Fast!

"

Geoff Peterson

Principal @ Active with AI, Fmr Microsoft, Korn Ferry alum

As Seen In:

Freemium with strong free tier to drive habit formation.

Free tier: 10 searches per day, basic filters, 30-day result window.
Pro at $19/month: unlimited searches, full filter suite, 12-month result window, saved searches, weekly alert digests, CSV export of up to 100 results.
Power at $49/month: 5-year historical window, advanced operators (proximity, sentiment, exclusion lists), 1,000-result CSV export, browser extension that overrides LinkedIn's native search.
Team at $149/month: 5 seats, shared saved searches, admin controls, Slack alerts. API access at $0.02 per query for developers.

With aggressive freemium funnel — projected 30,000 free users in year one — converting 3% to Pro, 1% to Power, plus 50 Team accounts hits roughly $30K MRR or $360K ARR in year one. Path to $1M+ by year three: 150,000 free users, 4% Pro conversion (6,000 × $19), 1.5% Power (2,250 × $49), 200 Teams (× $149), plus API revenue = ~$270K MRR, ~$3.2M ARR. Add-ons: a one-time "post recovery service" at $49 to find a user's specific lost old post (hand-assisted), a $99 white-glove onboarding for agency teams.

Book a call

AI Business Idea Index - Businesses You Can Start Today With AI. High-Tech, SaaS, Health, Finance, Consumer, Entertainment.

See What's In Our Index

FeedFind: A Google-Quality Search Engine for LinkedIn Posts

The LinkedIn search LinkedIn won't build - semantic, filterable, historical, and fast to use.

Idea Overview

FeedFind is a dedicated search engine that indexes the public content of LinkedIn — posts, comments, articles — and exposes a fast, semantic, filter-rich search interface that behaves like Google or Perplexity rather than LinkedIn's native search box. Users type natural-language queries ("recent posts where SaaS founders complain about Stripe pricing changes" or "carousel posts about AI agents that got over 500 reactions in the last 30 days") and get ranked, deduplicated results with full filter controls — author seniority, industry, company size, post format, date range, engagement floor, sentiment, and language. It serves anyone who currently fights LinkedIn's search box: marketers researching topics, salespeople looking for buyer conversations, analysts tracking narratives, recruiters checking candidate writing, journalists sourcing quotes, founders doing competitive research, and professionals just trying to find that one post they remember from three months ago. The recurring revenue case is strong because search is a habit-forming utility — once a user finds it once, they bookmark it.

Index /

AI Business Idea

Type of Business and Category

B2C-leaning SaaS, with a B2B power-user tier. Category: search engine, productivity tool, professional research. Freemium with usage-based gating. Think "Google for LinkedIn content" as the positioning, similar to how Hacker News Algolia search is to HN comments — better than the source's own search.

Competitor Landscape

Surudo's free semantic post search bot is the closest direct competitor but is positioned as a freebie lead-gen for their broader GTM bot suite, with no real product investment. Taplio's viral-post search is good but limited to the top ~10% performing posts in a curated database — it's a content-inspiration tool, not a true search engine. Sales Navigator does keyword search across a small posts subset but with terrible filtering and 2,500-result hard caps. LinkedIn's own search has the technical capability (per their late-2024 semantic capability paper) but the product surface is buried, lacks filters, decays results within weeks, and is fundamentally not the company's strategic priority. On Reddit (r/linkedin, r/sales, r/marketing), Quora, and X, there are recurring threads going back years asking "how do I find old LinkedIn posts" — a clear unmet-need signal. The market gap is unusually wide for a category this obvious; the reason it hasn't been built is the data acquisition challenge, not the demand.

Demand Analysis

"LinkedIn search," "search LinkedIn posts," "find LinkedIn post," and "LinkedIn post search" pull collectively over 100,000 monthly searches on Google.
"Find old LinkedIn post" alone is a long-tail evergreen with thousands of monthly searches and rising.
Google Trends shows steady upward interest in "LinkedIn content" and "LinkedIn search" queries through 2024–2026.
Five-year-old Reddit and Quora threads about LinkedIn search frustrations still get monthly comments — a strong durability signal.
The macro tailwind is the rise of AI-powered search (Perplexity, Claude search, You.com) raising the bar for what users expect from any search experience; LinkedIn's native search now feels prehistoric by comparison. Surudo, despite zero marketing spend visible, has built enough demand to position the bot as a top-of-funnel asset — proof that even a janky first-pass version draws traffic.

Ideal Customer

Three converging segments. (1) Solo professionals who use LinkedIn heavily — sales reps, recruiters, content marketers, researchers, journalists, consultants — age 28–50, income $80K–$300K, who lose 15+ minutes per LinkedIn search task. (2) Personal-brand creators and ghostwriters — age 25–45 — who need to research what's working and find prior posts on a topic. (3) Power-user analysts at agencies, VC firms, and corporate strategy teams who need to search the content layer for competitive intelligence. Find them on LinkedIn itself, X (especially the marketing and sales operator subcultures), Hacker News, r/linkedin, r/sales, r/recruiting, r/marketing, r/copywriting, Pavilion, Superpath, Lenny's Slack, and indie tooling communities like Indie Hackers and Product Hunt. Offline: SaaStr, INBOUND, Content Marketing World, RevGenius events.

Business Models and Financials

Recommended Tool Stack

GTM, Sales and Marketing Strategy

Freemium with strong free tier to drive habit formation.

Free tier: 10 searches per day, basic filters, 30-day result window.
Pro at $19/month: unlimited searches, full filter suite, 12-month result window, saved searches, weekly alert digests, CSV export of up to 100 results.
Power at $49/month: 5-year historical window, advanced operators (proximity, sentiment, exclusion lists), 1,000-result CSV export, browser extension that overrides LinkedIn's native search.
Team at $149/month: 5 seats, shared saved searches, admin controls, Slack alerts. API access at $0.02 per query for developers.

With aggressive freemium funnel — projected 30,000 free users in year one — converting 3% to Pro, 1% to Power, plus 50 Team accounts hits roughly $30K MRR or $360K ARR in year one. Path to $1M+ by year three: 150,000 free users, 4% Pro conversion (6,000 × $19), 1.5% Power (2,250 × $49), 200 Teams (× $149), plus API revenue = ~$270K MRR, ~$3.2M ARR. Add-ons: a one-time "post recovery service" at $49 to find a user's specific lost old post (hand-assisted), a $99 white-glove onboarding for agency teams.

Three-pronged launch.

(1) Programmatic SEO at massive scale — generate landing pages for the long tail "LinkedIn posts about [topic]" for tens of thousands of topics, each pre-populated with the top 10 indexed results. This is a clone of how Glassdoor, Indeed, and TripAdvisor built their early traffic.

(2) Launch on Hacker News, Product Hunt, and r/SideProject with the angle "I built the LinkedIn search that LinkedIn won't" — that framing is catnip for the developer/builder audience and primes virality.

(3) Partner with the LinkedIn ghostwriter and creator community — give Lara Acosta, Justin Welsh's network, Matt Barker, Ship 30 alumni, and 50 other top creators free Power-tier access in exchange for usage and shoutouts.

Specific communities: r/LinkedIn, r/sales, r/marketing, r/recruiting, r/copywriting, r/SideProject, Hacker News, Indie Hackers, Pavilion, Superpath, Demand Curve, Lenny's Slack, Content Mavericks.

Cold outreach to journalists who cover LinkedIn (Insider, Business Insider, The Information) — a "Google for LinkedIn" angle is highly press-friendly.

Critical defensive note: build the legal positioning carefully (public posts only, robots.txt respect where applicable, clear takedown process) because LinkedIn will pay attention as the product gains traction — the Proxycurl shutdown is the cautionary tale to learn from.

"

We help build and launch AI-first systems for startups to Fortune 50 companies. From idea to reality - we design, develop and deploy AI agents, automations, apps, sites, and tools to accelerate your company. Fast!

Geoff Peterson

Principal @ Active with AI, Fmr Microsoft, Korn Ferry alum

As Seen In:

Book a call

AI Business Idea Index - Businesses You Can Start Today With AI. High-Tech, SaaS, Health, Finance, Consumer, Entertainment.

See What's In Our Index

This is a technically demanding idea, but doable solo with the right stack.

Data layer: a hybrid of Apify LinkedIn Post Search Scraper and Bright Data Post API for ongoing crawl, plus a buyer-side approach where logged-in users contribute their own feed view via a browser extension (a clever data-acquisition flywheel that sidesteps some of the scraping cost and legal exposure).

Storage: Postgres with pgvector or a dedicated vector DB like Qdrant or Pinecone for semantic embeddings.

Search infrastructure: Typesense or Meilisearch for the lexical layer, embedding-based retrieval for semantic layer, then a Claude Sonnet 4.6-powered reranker for the top 100 results — this is a rough mirror of LinkedIn's own published two-layer architecture, but exposed as a real product.

App: Next.js + Vercel, deployable solo.

Embedding model: OpenAI text-embedding-3-large or Cohere embed-v3 for cost-efficiency at scale.

Claude Code and Cursor for the build itself. Stripe for billing. PostHog for analytics. The MVP is buildable in 12–16 weeks for a strong solo developer; the data layer is the hard part, not the search engine itself.

Get Access to "Modern" Recruiting

A key domain where AI talent is heavily concentrated. Focused on collecting, processing and analyzing large data sets to derive insights and drive decision-making. This includes Data Engineers, Data Scientists and Business Analysts.

(Using AI, Digital, Automation)

Leveraging 100's of tools

Business Networks

Social Networks

Name Search Sites

Technology Sites

News Sites

Artificial Intelligence

Niche Sites

Signal Sites

Search Engines

Data Science & Analytics

Machine Learning Engineering

Natural Language Processing

Responsible for designing, building and deploying machine learning models that process vast amounts of data and generate predictions and insights. This includes Machine Learning Engineers and Research Scientists.

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A pivotal area where businesses explore and advance AI technologies. This domain is staffed by Research Scientists and R&D Engineers, investigating new algorithms and developing machine learning models.

We vet candidates via video interviews, email, SMS and social campaigns.

We update daily and calibrate until you're 100% satisfied.

We search and identify AI talent from 2,000+ sources.

AI talent includes, but not limited to

Focus on enabling machines to understand, interpret and generate human language. Specialists work on text analysis, language translation and chatbot development. This includes NLP Engineers and Computational Linguists.

AI is rapidly changing the world. We are advanced, fixed, fast, flexible and readily available for you.

Get Access to

A key domain where AI talent is heavily concentrated. Focused on collecting, processing and analyzing large data sets to derive insights and drive decision-making. This includes Data Engineers, Data Scientists and Business Analysts.

3

4

5

1

2

(AI, Digital, Automation)

Leveraging 100's of tools

Search Engines

Business Networks

Social Networks

Artificial Intelligence

Data Science & Analytics

Machine Learning Engineering

Responsible for designing, building and deploying machine learning models that process vast amounts of data and generate predictions and insights. This includes Machine Learning Engineers and Research Scientists.

AI Research & Development

A pivotal area where businesses explore and advance AI technologies. This domain is staffed by Research Scientists and R&D Engineers, investigating new algorithms and developing machine learning models.

Natural Language Processing

Focus on enabling machines to understand, interpret and generate human language. Specialists work on text analysis, language translation and chatbot development. This includes NLP Engineers and Computational Linguists.

We vet candidates via video interviews, email, SMS and social campaigns.

We search and identify AI talent from 2,000+ sources.

We update daily and calibrate until you're 100% satisfied.

AI talent includes, but not limited to

"Modern" Recruiting

AI is rapidly changing the world. We are advanced, fixed, fast, flexible and readily available.

Receive talent matching specific criteria for open positions, or evergreen searches.

Build continuous pipelines of individual contributors (Engineers, Researchers)

Find highly targeted candidates that meet your specialized DE&I requirements

Gather names of real targets you can reach today, ready to join your company

Vet AI Leaders (Heads, Principals, Chiefs, VP's) for confidential clients

Active with AI is used by businesses to build their AI teams - replacing unreliable freelancers and expensive agencies.

So everyone can focus on what they do best.

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Acquire lists of names and companies with verified information to fill your talent pipelines.

Build lists for new job openings, confidential searches or new service lines

Scour social media sites and niche online communities for overlooked talent

Discover emerging companies and unexplored market space.

Find companies that are under-the-radar, that can lead to new pockets of talent

Analyze industries and companies, tracking technologies they utilize

Receive talent matching specific criteria for open positions, or evergreen searches.

Build continuous pipelines of individual contributors (Engineers, Researchers)

Find highly targeted candidates that meet your specialized DE&I requirements

Gather names of real targets you can reach today, ready to join your company

Vet AI Leaders (Heads, Principals, Chiefs, VP's) for confidential clients

Active with AI is used by businesses to build their AI teams - replacing unreliable freelancers and expensive agencies.

So everyone can focus on what they do best.

Gain diversity insights from carefully vetted research with talent for your needs.

Acquire lists of names and companies with verified information to fill talent pipelines.

Build lists for new job openings, confidential searches or new service lines

Scour social media sites and niche online communities for overlooked talent

Discover emerging companies and unexplored market space.

Find companies that are under-the-radar, that can lead to new pockets of talent

Analyze industries and companies, tracking technologies they utilize

A Value Proposition You Won't Find Anywhere Else

aHeist replaces unreliable freelancers and expensive agencies. We deliver custom recruiting solutions and talent sourcing services fast and flexible.

Big agency recruiting services at a fraction of the cost.

"

Geoff Peterson,

Fmr, Global Head of Research at Korn Ferry

Get as many projects accomplished as you'd like.

Unlimited Projects

Best in Class Data

We access a wealth of tools for your unique recruitment needs.

Fast Delivery

Get updates on your services and solutions in 1-2 days on average.

Fixed Monthly Rate

Flexible Plans

Collaborative Experience

Pay the same fixed price per month. No hidden surprises!

Start, stop. Pause, cancel. Anytime. No contracts. No hassles.

We hold weekly check-ins and give access to a workspace in Basecamp.

See Our Plans

A Value Proposition You Won't Find Anywhere Else

aHeist replaces unreliable freelancers and expensive agencies. We deliver custom recruiting solutions and talent sourcing services, fast.

Big agency recruiting services at a fraction of the cost.

"

Geoff Peterson,

Fmr, Global Head of Research at Korn Ferry

Get as many projects accomplished as you'd like.

Unlimited Projects

Best in Class Data

We access a wealth of tools for your unique recruitment needs.

Fast Delivery

Get updates on your services and solutions in 1-2 days on average.

Fixed Monthly Rate

Flexible Subscription

Collaborative Experience

Pay the same fixed price per month. No hidden surprises!

Start, stop. Pause, cancel. Anytime. No contracts. No hassles.

We hold weekly check-ins and give access to a workspace in Basecamp.

See Our Plans

AI-Powered Recruiting,

Machine Learning Researchers

Principal Software Engineers

Data Scientists

Engineering Managers

Deep Learning Engineers

Computer Vision Scientists

Chief AI Officers

Machine Learning Developers

AI Research Scientists

UX Researchers

Hardware Engineers

Applied Scientists

AI Solutions Architects

NLP Specialists

Chief Technology Officers

Senior Program Managers

Bioinformatics Engineers

Data Engineers

75M

3B

People identified across engines Google, Bing, DuckDuckGo, Lusha, Swordfish

25M

Candidates found on networks LinkedIn, Facebook, Twitter, Instagram

Names discovered on technology sites Github, StackOverflow, Pitchbook, Crunchbase

Talent Identification (By The Numbers):

Building High-Powered Teams

AI-Powered Recruiting, Building High-Powered Teams

Machine Learning Researchers

Principal Software Engineers

Data Scientists

Engineering Managers

Deep Learning Engineers

Computer Vision Scientists

Chief AI Officers

Machine Learning Developers

AI Research Scientists

UX Researchers

Hardware Engineers

Applied Scientists

AI Solutions Architects

NLP Specialists

Chief Technology Officers

Senior Program Managers

Bioinformatics Engineers

Data Engineers

75M

3B

People identified across engines Google, Bing, DuckDuckGo, Lusha, Swordfish

25M

Candidates found on networks LinkedIn, Facebook, Twitter, Instagram

Names discovered on technology sites Github, StackOverflow, Pitchbook, Crunchbase

Talent Identification (By The Numbers):

Custom AI Recruiting for Every Business and Function

Use us for hiring ramps in data science and software engineering. Build proactive candidate pipelines of researchers and developers. Pinpoint key AI leaders to grow your business. Get coverage for specialized skills from sources you aren't using including technology sites and search engines.

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Active with AI Project

Single recruiting project to grow your AI team. Massive benefits. Incredible flexibility.

We're available for small projects, large hiring needs

Schedule a call

What's included:

One project for 60 days

Unlimited uses (ID, engagement, vetting)

Unlimited recruiting with 2,000+ tools (AI, Digital)

Unlimited recruiting calibration

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Unique hiring initiatives. AI tools. AI operations. Program development. AI technology guidance, selection and implementations. Let's talk.

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Unlimited recruiting collaboration (video, portal)

and unlimited possibilities.

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AI recruiting training on new, emerging trends

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One subscription for all your talent sourcing. Massive benefits. Incredible flexibility.

$7,995

/month

We made it easy to choose, with one subscription and unlimited possibilities.

Schedule a call

What's included:

Unlimited projects per month (one at a time)

Unlimited users

Unlimited uses (talent sourcing, name generation)

Unlimited research across dozens of sources

Unlimited research calibration

Unlimited collaboration (weekly calls, Basecamp)

Pause or cancel anytime

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Recruiter training on new sourcing trends

Elite sourcing strategy and execution

Custom Lists, Templates, Kits

Simple credit-card payments

Pause or cancel anytime

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Learn more about aHeist and how we can help you with talent sourcing.

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Significant projects and need to scale up? We've got you covered.

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Get Started.

We're available for small projects, large hiring needs and unlimited possibilities.

Talk To Us

Unique hiring initiatives. AI tools. AI operations. Program development. AI technology, guidance, selection and implementations. Let's talk.

Schedule a call

Active with AI Project

Single recruiting project to grow your AI team. Massive benefits. Incredible flexibility.

Schedule a call

What's included:

One project for 60 days

Unlimited uses (ID, engagement, vetting)

Unlimited recruiting, 2,000+ tools

Unlimited recruiting calibration

Unlimited recruiting collaboration

AI recruiting mentorship, development

AI recruiting training on new trends

Launch a Project

Risk Free. Guaranteed Results.

FAQs

What if I hired a full-time Talent Sourcer?

A full-time senior-level Talent Sourcer typically costs $100,000, not including bonus and benefits. You may not have "full-time" work to keep them busy year-round, and will have to pay even if they aren't being utilized.

Our flexible monthly subscription plan gives you the ability to pause and resume when needed, so you only pay for your Talent Sourcer when you have project needs.

->

How many projects can I have?

With our monthly subscription, you can add as many projects to your queue as you'd like. We will deliver them one by one.

->

How fast will I receive my solutions and services?

Most projects are completed in just 1-2 business days or less, Monday through Friday. However, more complex projects can take longer.

->

How does "pause" of a subscription work?

If you don't have enough projects or work to take up a whole month, you have the ability to pause your subscription.

Billing cycles are based on 31 days. For example, if you sign up and use the service for 24 days, and then pause your subscription, you'll have 7 days of service remaining to be used anytime in the future. All you need to do is unpause and continue.

->

What tools do you use for your projects?

We utilize a wide range of AI, search engines, paid databases, social media, news sites and niche communities.

This includes LinkedIn, Google, ChatGPT-4, Crunchbase, Pitchbook, BoardEx, CapitalIQ, Ahrefs, JungleScout, Lusha, Swordfish, Hunter, Twitter, Facebook, Instagram, Reddit, Similarweb, Google Trends, Wikipedia, Builtwith, Github, Zapier, Clay, Data Miner, Jasper and 100's more.

->

How do I request projects and collaborate?

aHeist uses Basecamp, an online collaboration tool for project management, and to house all project work completed. We also schedule live video call check-ins weekly for extra hands-on feedback.

->

What if I only have one project?

You can pause your subscription when the project is completed, and unpause when you have additional needs.

->

What is the cost difference versus using a big agency?

Big agencies will typically charge you anywhere from $35,000 to $50,000 on the low end, to upwards of $100,000+ for the exact same services.

FAQs

->

How do I request projects and collaborate?

aHeist uses Basecamp, an online collaboration tool for project management, and to house all work completed. We also schedule live video call check-ins weekly for extra hands-on feedback.

->

What if I only have one project?

You can pause your subscription when the project is completed, and unpause when you have additional needs.

->

What is the cost difference versus using a big agency?

Big agencies will typically charge you anywhere from $35,000 to $50,000 on the low end, to upwards of $100,000+ for the exact same services.

What if I hired a Talent Sourcer?

A full-time senior-level Talent Sourcer typically costs $100,000, not including bonus and benefits. You may not have "full-time" work to keep them busy year-round, and will have to pay even if they aren't being utilized.

Our flexible monthly subscription plan gives you the ability to pause and resume when needed, so you only pay for your Talent Sourcer when you have project needs.

How many projects can I have?

With our monthly subscription, you can add as many projects to your queue as you'd like. We will deliver them one by one.

How fast will I receive my solutions and services?

Most projects are completed in just 1-2 business days or less, Monday through Friday. However, more complex projects can take longer.

How does the "pause" feature work?

If you don't have enough projects or work to take up a whole month, you have the ability to pause your subscription.

Billing cycles are based on 31 days. For example, if you sign up and use the service for 24 days, and then pause your subscription, you'll have 7 days of service remaining to be used anytime in the future. All you need to do is unpause and continue.

What tools do you use for your projects?

We utilize a wide range of AI, search engines, paid databases, social media, news sites and niche communities.

This includes LinkedIn, Google, ChatGPT-4, Crunchbase, Pitchbook, BoardEx, CapitalIQ, Ahrefs, JungleScout, Lusha, Swordfish, Hunter, Twitter, Facebook, Instagram, Reddit, Similarweb, Google Trends, Wikipedia, Builtwith, Github, Zapier, Clay, Data Miner, Jasper and 100's more.