
AdLibrary
One search bar for every major ad library, plus save, tag, and reuse winning ads.
Tagline
One search for every ad library
Find winning ads before your competitors do
Build swipe files clients actually use
Turn ad intel into workflows, not browser tabs
The only unified ad intelligence platform for every major social and search ad library.
The page repeatedly claims cross-platform coverage as the core differentiator, and that is the clearest category-defining hook versus single-platform libraries.
A faster, cleaner replacement for Foreplay, Minea, and PowerAdSpy.
The page explicitly names these competitors in a testimonial and pricing/feature comparison context, and it frames AdLibrary as better for serious operators who need unlimited searches and API access.
Stop wasting budget on guesswork: use competitor ads to find winning creative angles before you launch.
The page leans hard into pain-killer language around reducing waste, finding winners faster, and reversing successful hooks/angles with AI enrichment.
Primary user
Performance marketing manager at a DTC or eCommerce brand spending heavily on paid social and search
ICP #1
Performance Marketing Manager at an 8-figure DTC brand running Meta, Google, and TikTok
Pain
They waste hours jumping between Meta Ad Library, Google Ads Transparency Center, and TikTok Ads Library, screenshotting ads, and still miss what competitors are actually scaling.
Why this solves
AdLibrary centralizes those libraries into one search with filters and saving, so they can find winning creative patterns faster and organize references without tab chaos.
ICP #2
Creative Strategist at a growth marketing agency managing 10+ client accounts
Pain
They need a repeatable way to build swipe files, share inspiration with clients, and reverse-engineer creative angles without rebuilding the same research every week.
Why this solves
The save/tag/folder workflow plus shareable collections makes AdLibrary a client-facing research system, not just a search tool.
ICP #3
Head of Growth at a startup spending $100k+ per month across paid channels
Pain
They want competitor intelligence that can be operationalized, not just browsed in a browser, and they’re tired of one-off research tools with limited access.
Why this solves
The API and AI-agent angle suggests the data can plug into internal workflows, making AdLibrary useful for dashboards, alerts, and automation beyond manual browsing.
Strengths
- +The core value prop is instantly legible: one search across multiple ad libraries, which is much stronger than a generic 'ad intelligence' pitch.
- +The page does a good job naming concrete platforms and concrete workflows like saving, tagging, exporting, and API access.
- +It uses competitor callouts and social proof effectively, including the testimonial that it 'Replaced Foreplay, Minea, and PowerAdSpy.'
Weaknesses
- −The page is overloaded with repetitive claims and SEO-style keyword stuffing, which makes the offer feel noisy instead of premium.
- −It leans too heavily on vague superlatives like 'best value' and 'redefined ad intelligence' without enough proof of accuracy, freshness, or coverage methodology.
- −The product narrative is fragmented between three different buyers: manual researchers, agency teams, and API/AI-agent builders, so the homepage lacks a single dominant conversion path.
- −Some claims feel risky or underexplained, especially 'the only combined ad library on the internet' and the very bold API/agent positioning.
- −The pricing message is confusing: '$179/month' alongside 'only 29$ for the first month' and a 'Pay as you go' option without a clear breakdown.
Fix these
- Pick one primary homepage CTA and buyer path: either manual ad research, swipe-file management, or API access; then create dedicated sub-pages for the others.
- Replace SEO repetition with proof blocks: exact counts by platform, refresh cadence, sample searches, and screenshots that show filters and saved collections in action.
- Add a clearer before/after workflow showing how a performance marketer goes from competitor search to saved swipe file to campaign brief.
- Strengthen trust with data credibility details: where ads come from, how often they refresh, what '1 billion ads' means, and where coverage is strongest or weakest.
- Rework pricing into a simple comparison table with a crisp explanation of the launch offer, business API access, and pay-as-you-go credits.
Drop-in replacement copy
Headline
One search for every ad library
Find, save, and reuse winning ads without tab chaos.
Find competitor ads faster
Search Meta, Google, YouTube, TikTok, X, LinkedIn, Pinterest, Snapchat, and mobile ad networks from one interface. Stop bouncing between platforms just to figure out what your competitors are actually running.
Build a swipe file your team uses
Save ads into folders, tag them, and share collections with teammates or clients. Your research stays organized instead of disappearing into screenshots and messy drives.
Understand why an ad works
Use AI enrichment to break down hooks, angles, audiences, and triggers. That turns raw ad examples into usable creative direction for your next brief or test.
Plug ad intel into your workflow
Export results or use the API for internal tools, dashboards, and AI agents. Ad research should fit into how your team already works, not force another tab.
FAQ
What platforms do you cover?
AdLibrary searches major ad libraries across Meta, Google, YouTube, TikTok, X, LinkedIn, Pinterest, Snapchat, and mobile/native ad networks.
How is this different from the native ad libraries?
Native libraries are useful, but they’re fragmented. AdLibrary puts them behind one search bar with filters, saving, tagging, sharing, and exports.
Can I use this for client work?
Yes. You can save ads into folders, build shareable collections, and send research to clients or teammates without forcing them into the product.
Does the AI actually help?
It breaks down the ad into hook, angle, audience, and trigger so you can move faster from example to strategy. It’s meant to save time, not replace judgment.
Is there an API?
Yes, Business users can access the API to plug ad intelligence into internal workflows, dashboards, or AI agents.
Ad research is still broken. Now you can search Meta, Google, YouTube, TikTok, X, LinkedIn, Pinterest, Snapchat, and mobile ad networks from one place. Save ads. Tag them. Share them. Reuse what works. AdLibrary is live.
Performance marketers shouldn't need 9 tabs open just to spy on competitors. AdLibrary puts major ad libraries behind one search bar, with filters, folders, tags, exports, and AI breakdowns. Built for people who actually spend money on ads.
The problem isn't access. It's that ad libraries are scattered, annoying, and impossible to reuse. We built AdLibrary so you can search across platforms, save the good stuff, and turn competitor ads into a swipe file instead of screenshots.
Watching teams screenshot ads into Slack made the product obvious. The workflow should be: search, save, tag, share, brief. Not: open 6 libraries, copy URLs, make folders in Drive, forget why the ad mattered.
If your creative process starts with 12 tabs and ends with a folder full of screenshots, you need a better system. AdLibrary helps you find ads faster, organize them, and actually reuse the patterns that are already winning.
The fastest way to waste spend is launching creative blind. AdLibrary shows what competitors are running across major ad libraries, so you can spot angles, hooks, and offers before you burn budget testing random ideas.
Type a company name, keyword, or URL. Filter by platform, country, format, date, or freshness. Save the winners into folders, tag them, and share a swipe file with your team or client. That should be the default workflow.
AdLibrary doesn't just show ads. It helps you break down the hook, angle, audience, and trigger behind each one. That means less guessing, better briefs, and faster creative direction.
When a tool saves time, people drop the old one fast. That's the point of AdLibrary: one search bar, cleaner workflow, and enough coverage to stop hopping between platforms. If your team lives in swipe files, this is built for you.
They don't want more ads. They want better search, better filters, better organization, and a way to share research without chaos. That's why AdLibrary gets pulled into both performance teams and agency workflows.
Angle: manual ad research is broken
Most teams doing ad research still work like this: - open Meta Ad Library - open Google Ads Transparency Center - open TikTok Ads Library - screenshot everything - dump it into a folder nobody revisits That process is slow, messy, and surprisingly common. We built AdLibrary because the workflow was obviously broken. One search bar. Major ad libraries in one place. Filters that actually matter. Save, tag, share, export. The goal is simple: help performance marketers and creative strategists move from “I found a few ads” to “I have a usable swipe file and a clear angle to test.” If you spend real money on paid acquisition, you should not be doing ad intel manually across 9 tabs. Curious what part of the research workflow hurts most for your team: finding ads, organizing them, or turning them into briefs?
Angle: swipe files as a team system
Swipe files are only useful if they get used. Most of them die because they’re built like storage, not systems. A folder full of screenshots is not a process. It’s a graveyard. What teams actually need is: - fast search across platforms - a way to save and tag examples - collections they can share with clients or internal teams - enough context to understand why an ad works That’s the idea behind AdLibrary. It’s not just “look at ads.” It’s a workflow for turning competitor creative into something your team can act on. The big shift is from browsing to operationalizing. If you’re on a growth team, that matters a lot more than another pretty dashboard. What does your team do today when it finds a great ad?
Angle: API and workflow integration
A lot of ad intel tools are built for browsing. That’s fine if you’re a solo operator. It breaks down fast if you’re running paid acquisition at scale, building internal dashboards, or trying to feed insights into AI workflows. That’s why we added API access to AdLibrary. The idea is not “use another tool.” The idea is: plug ad intelligence into the systems you already use. Search results, saved ads, tags, and enriched breakdowns should be available where your team already works. That means less copy-pasting, less manual research, and more time actually making better creative decisions. If you’re building internal tooling around paid media, I’d love feedback on what would make ad intel genuinely usable in your workflow: alerts, exports, enrichment, or something else?
No visuals for this kit yet.
Tagline
Search every major ad library in one place
Description
AdLibrary lets performance marketers search Meta, Google, YouTube, TikTok, X, LinkedIn, Pinterest, Snapchat, and mobile ad networks from one interface. Save, tag, share, export, and break down winning ads fast.
Maker's first comment
We built AdLibrary because ad research kept wasting time in the same way: open one library, search, screenshot, repeat. If you work in performance marketing, creative strategy, or growth, you probably know the drill — a pile of tabs, a folder full of images, and no clean way to turn competitor ads into something usable. AdLibrary started as a fix for that mess. The goal was not to make another pretty dashboard. It was to make research faster, make swipe files actually useful, and make it easier to move from “I found this ad” to “I know what angle to test next.” We also wanted it to work for teams, not just solo operators, so sharing, tagging, exports, and API access are part of the product, not add-ons. Would love feedback on the search experience, the trust/coverage story, and whether the workflow feels clear enough from the first minute.
Pinned maker comment
Would love feedback on two things most: whether the one-search-bar concept is instantly clear, and what proof would make you trust the coverage/freshness more.
Meta
Your creative team is screenshotting ads wrong.
Hypothesis: performance marketers and creative strategists want a faster way to find and organize competitor ads than jumping between 9 ad libraries. AdLibrary lets you search major libraries from one place, save winners, tag them, and share swipe files with your team.
Google Search
Stop searching competitor ads one library at a time.
Hypothesis: paid acquisition teams managing Meta, Google, and TikTok want unified ad intel instead of fragmented browser research. AdLibrary combines major ad libraries into one search with filters, folders, exports, and AI breakdowns.
Reddit Promoted
Built a better way to search ad libraries.
Hypothesis: indie founders, growth marketers, and agency operators are tired of manual ad research and want a cleaner workflow. AdLibrary searches major ad libraries in one place, with save/tag/share tools for swipe files and team research.
Subreddits
r/sideproject
Show the build, the workflow problem, and how one search bar replaces manual ad-library hopping
Rules: No pure self-promo; frame as a build story, share lessons, include screenshots or a demo, and answer comments fast
r/indiehackers
Post the origin story: why ad research is broken and how you built a tool around the workflow
Rules: Share what you learned, avoid hype, include specifics, and be transparent about being the maker
r/PPC
Ask for feedback from paid media people on unified ad research and what filters or exports matter most
Rules: Be genuinely useful, no low-effort promo, keep it tactical, and engage with practitioner questions
r/marketing
Discuss the research workflow for competitive creative analysis and invite critique on coverage and trust signals
Rules: Must be educational first, self-promo second, and clearly framed around solving a marketing workflow pain
r/ecommerce
Show how DTC brands can use competitor ads to find hooks and offers before wasting spend
Rules: Keep it practical, avoid spammy language, and focus on creative research that helps store owners spend better
Communities
Publish a build log and a teardown of how you validated the pain before shipping. Reply to every comment with specifics and numbers.
Join discussions about creative research, competitor analysis, and workflow bottlenecks. Share useful examples before mentioning the product.
Answer ad-intel and paid social questions with real tactics, then mention AdLibrary only when someone asks how to organize or search faster.
Paid Social Community
Post a short workflow breakdown for creative strategy teams and ask what they use today for swipe files, then offer a demo to a few interested members.
Cold outreach template
{firstName}, saw you’re running paid acquisition for {context}. We built AdLibrary because jumping between ad libraries and screenshots is a waste of time. Want me to send you a 2-minute demo link and you can tell me if the search/filters match how your team researches ads?
Product Hunt timing
Launch on Tuesday at 12:01 AM Pacific Time. It gives you a full weekday to collect momentum, and performance marketers/agency people are more likely to check tools and product news during work hours than on weekends.
Indie Hackers post ideas
- 01I built a unified search for Meta, Google, TikTok, and more. Here’s why.
- 02How we turned ad screenshots into a searchable swipe-file workflow
- 03What it takes to make ad intelligence actually useful for growth teams
Competitor alternatives
Current tone of voice
Direct, aggressive, and slightly rebellious, with lines like 'No bullshit' and 'see everything your competitors don't want you to see.'
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7 more X posts · 2 LinkedIn · Product Hunt copy · ad hooks · 100-user playbook · landing critique
