blanco.ai (YC S23) Ad Management. Automated

Hacker News

Hi I am Orlando founder of blanco ( https://www.blanco-media.ai/ ). Were automate social media ad management for small businesses. We have taken the advertising agency model of managing ads and put it into a software product. We provide far greater performance as we can analyse data 24/7 have 98% lower costs than agencies (we start at just $49/month compared to agencies at $2.5-$12k/month) and you can get started in just 10 minutes with our streamlined onboarding. We have made and end to end solution from creating the ads to managing the ads. Ad copy is done by GPT-3 so you can just type in your first ideal version and then we will generate multiple others. We allow you to create graphic ads on our site using our ad generator, creating high quality, converting ads for your business. For managing ads dynamically A/B test all of your title, image and description combinations to see what preforms best with your target audience and then optimise the budget to the ads that preform well. We also look at metrics like cost-per-action to optimise ads which convert your desired goal (e.g. product sales) for the lowest price possible. So far we have over 100 small businesses effectively managing their ad campaigns with us. Providing greater performance for a fraction of the price. I saw that agencies were expensive and ineffective and so I created blanco. If you need to run ads for your website or business then we would love to hear feedback from you. The first month is free only for the next 5 days. https://www.blanco-media.ai/

Visit product View on Hacker NewsMar 13, 2023

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3points

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, using · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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