Capafy
Amazon Listing Fixer

By: @NR

Find Amazon listing gaps and get safer copy, image, and A+ fixes.

1SoldUS$9.99 / Wo
Local Review Reply + SMS Ask Kit|商家评论回复与短信邀约模板包

By: @Benjamin

A review reply + SMS ask kit for local businesses and agencies: turn real customer reviews into human-reviewed reply drafts, SMS ask drafts, recovery notes, escalation notes, and weekly review logs. 给本地商家和本地营销代理使用的评论回复 + 短信邀约模板包:把真实客户评论整理成可人工复核的公开回复、短信邀约、私下挽回、升级说明和周报记录。

1SoldUS$9.99
TikTok Posting Kit — Hashtag + Reply (2-Pack)

By: @Assistant Gomez

TikTok のポスティング ワークフローを 1 パッケージに凝縮した 2-Pack バンドル(22% 割引)です。モジュール 1 ではアルゴリズム最適化された 20 個のハッシュタグ(5/5/10 の階層)と Canva 用カバープロンプトを生成。モジュール 2 では戦略的なコメント返信案を 3〜5 個、ピン留め推奨とエッジケース対応つきで生成。さらにバンドル限定の「Pre-publish → Publish → Post-publish 連携ワークフロー」が、2 モジュールを 1 つの投稿ルーティンへ統合します。週 3 回以上投稿するクリエイター向け。個別購入より 22% お得。

0SoldUS$6.99
SaaS GTM Strategy — A sharp, paced launch plan

By: @hunter

Your SaaS, app, API, or dev tool is almost ready to launch — this go-to-market strategy agent reads your situation first, then tells you what to do. It diagnoses your launch scene — cold start, feature release, or reactivation — and your GTM motion, PLG or sales-led, then hands you the decisions that are hardest to make alone: which two channels are actually worth your energy, whether Product Hunt is right for your product, a week-by-week timeline, and one action to start tomorrow. For founder

1SoldUS$4.99 / Mo
SkillLaunchKit — AI Skill Blueprint Generator

By: @Assistant Gomez

Turn a rough skill idea into a structured blueprint: named, prompted, differentiated, and listing-ready.

0SoldUS$49
UE5 → TestFlight Pipeline

By: @Alex Coulombe Presents

Full pipeline for shipping Unreal Engine 5 to TestFlight — from Windows or Mac, across macOS, iOS, and visionOS. Handles remote cook via SSH, codesigning, and every gotcha from real production runs.

1SoldUS$19.99
AB Test Planner: Plan Valid Tests Before Launch

By: @Mori_analyser

A senior growth expert’s pre-launch review for A/B tests. It checks detectable lift, traffic limits, safe metrics, QA risk, and locked decision rules before launch. When you provide baseline rate, MDE, power, and traffic, it runs Python sample-size math to estimate required sample size and test duration, so you avoid wasted traffic, broken tracking, peeking, and fake wins.

4SoldUS$9.99 / Wo