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Field DispatchProduct Hunt3 · 2026-05-29

Ava Studio

Your AI creative team for video ads

Ava Studio researches your product, develops hooks and creative angles, then generates 50+ editable short-form ad variants ready for TikTok, Reels, Meta, and any platform you want to ship on.

日榜日期
2026-05-29
发布时间
2026/05/29
日榜排名
#3
票数
212
评论
45
评价
0
Human Signal

创始人 / Maker 评论

优先展示 Product Hunt 上对理解条目有帮助的人类文本。

Topics
MarketingArtificial IntelligenceVideo

Hey Product Hunt, I'm Tong, founder of Ava Studio 👋 If you’ve ever launched a product, you probably know the feeling: the product is live, the site looks good, users are waiting somewhere… and now you need ads. That’s where a lot of founders get stuck. You can stare at ChatGPT trying to write hooks. You can brief an agency that costs more than your MRR. You can spend three hours in Runway or CapCut and end up with one clip you’re not sure is even usable. The problem isn’t that founders don’t know their product. It’s that making good ads requires an entire creative workflow: research, briefs, scripts, hooks, actors, product shots, editing, resizing, testing, and iteration. We built Ava Studio to make that workflow feel like having a creative team on demand. Drop in your product link and Ava studies your product, your market, and the ads already working in your category. Then she generates creative briefs, scripts, and 50+ editable ad variants ready for TikTok, Instagram, Meta, and YouTube. What used to take weeks of creative briefs, scripts, edits, and agency back-and-forth now starts from one product link. Watch me walk through it personally here: https://www.youtube.com/watch?v=2RS2-3qaEhg A few things people are surprised by when they first try it: 🔹 Ava starts where good agencies start: research . She studies your product, your category, your competitors, and the ads already winning before writing a single script. 🔹 It does not just make one video. One product link becomes a complete campaign: creative briefs, hooks, scripts, storyboards, actors, product shots, and 50+ editable variants. 🔹 Every output is remixable . Change the hook, swap the actor, rewrite the script, replace the product shot, or turn one good idea into ten new angles. 🔹 The template library is built around ads that already work . Browse winning formats by category, clone the structure, and customize it for your product in minutes. 🔹 Ava keeps the whole creative process in one workspace : research, strategy, scripting, generation, editing, and export for TikTok, Instagram, Meta, and YouTube. Ava is built for founders and small teams who need ads that look good, move fast, and don’t require hiring an agency. Every new account gets 500 free credits, enough to run a full workflow from research to finished variants. Try it here: avastudio.com Please break it, tell us what’s missing, and send us the weirdest product you can throw at it. We’re building this with founders who actually need to ship. Much love, Tong

评论作者信息不可用29 votes查看原评论
痛点分析发布于 2026/05/29

痛点为 AI 基于上游原始证据的初步提炼;未包含额外中国市场检索。

痛点

创业者或小团队在发布产品后,需要快速制作视频广告来获取用户,但现有流程存在明显摩擦。创始人Tong在maker comment中描述,用户可能对着ChatGPT发呆试图写hook,或者花三小时在Runway/CapCut上只做出一个不确定是否可用的片段,而雇佣代理机构又成本过高。一位评论者也提到,自己本周就多次尝试用ChatGPT写hook,结果花了四小时只得到一个平庸的片段和头痛。这表明用户的核心任务是高效产出可用的广告创意和素材,但现有工具(如ChatGPT、视频编辑软件)缺乏针对广告创意的结构化支持,导致大量时间浪费在试错和低效产出上,且结果质量不稳定,造成心理负担和决策困难。

Discussion

精选 Product Hunt 讨论

保留原始讨论语境,用来交叉验证上游条目的真实反馈。

Ok, the "stare at ChatGPT trying to write hooks" line made me laugh because I've done it this week. Multiple times. The creative workflow tax on founders is one of those quiet killers. You think you're going to spend an hour on ads, four hours later you've got one mediocre clip and a headache. Product link to 50 variants is the kind of thing that would have saved me serious time over the last few months. Going to share with our team. Quick question: how does Ava handle brand voice? Does she pick it up from the site copy, or do you train her on a separate input? Congrats on the launch!

评论作者信息不可用筛选:高信号评论0 votes查看原评论

@tpow Congrats on the launch! How does Ava Studio ensure the generated hooks and scripts actually capture the unique voice of a specific brand, rather than just recycling trending formats? Also, I'm curious if the "50+ variants" are truly distinct in narrative structure, or mostly visual/resizing iterations?

评论作者信息不可用筛选:高信号评论0 votes查看原评论

The research-first part is the right instinct. The risk with AI ad generation is not usually producing enough variants; it is producing 50 variants that all express the same weak claim with different visuals. One thing I’d love to see in a workflow like this is an angle map before generation: audience, pain/risk, proof asset, objection, hook family, and why this angle is worth testing. Then when an ad works or fails, the learning attaches to the angle, not just the finished video. That would make Ava Studio feel less like a content machine and more like a creative testing system.

评论作者信息不可用筛选:高信号评论1 votes查看原评论
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      "body": "<p>Ok, the \"stare at ChatGPT trying to write hooks\" line made me laugh because I've done it this week. Multiple times.<br></p><p>The creative workflow tax on founders is one of those quiet killers. You think you're going to spend an hour on ads, four hours later you've got one mediocre clip and a headache.<br></p><p>Product link to 50 variants is the kind of thing that would have saved me serious time over the last few months. Going to share with our team.<br></p><p>Quick question: how does Ava handle brand voice? Does she pick it up from the site copy, or do you train her on a separate input?<br></p><p>Congrats on the launch!</p>",
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      "body": "<p><a href=\"https://www.producthunt.com/@tpow\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"tpow\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tpow</a> Congrats on the launch! <br><br>How does Ava Studio ensure the generated hooks and scripts actually capture the <em>unique</em> voice of a specific brand, rather than just recycling trending formats?</p><p>Also, I'm curious if the \"50+ variants\" are truly distinct in narrative structure, or mostly visual/resizing iterations? </p>",
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      "body": "<p>The research-first part is the right instinct. The risk with AI ad generation is not usually producing enough variants; it is producing 50 variants that all express the same weak claim with different visuals.</p><p></p><p>One thing I’d love to see in a workflow like this is an angle map before generation: audience, pain/risk, proof asset, objection, hook family, and why this angle is worth testing. Then when an ad works or fails, the learning attaches to the angle, not just the finished video.</p><p></p><p>That would make Ava Studio feel less like a content machine and more like a creative testing system.</p>",
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