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Godmode – growth marketing built on top of Web3 data

Hacker News

Godmode – growth marketing built on top of Web3 data

Hello HN community - I'm Mert, the founder of Godmode (https://godmodehq.com/). Our mission is to simplify web3 data, making it accessible and actionable for marketing endeavours. By connecting the dots between web2 and web3 data, we aim to unlock new avenues for user acquisition. Please take a look at this brief walkthrough of our current product: https://www.youtube.com/watch?v=PcAojRmD7mw. We're eager for your thoughts and feedback. We've embarked on the journey to build Godmode out of a conviction that web3 must either expand and engage more users or risk irrelevance. At the present pace of user acquisition and feedback, we believe many web3 apps fall short of evolving into meaningful businesses. Despite the criticisms levelled against web3, we see it as a unique opportunity. It represents the world's largest open, transparent financial database, immune to restrictions or denial of access. This feature has profound implications for marketing. Since 2009, the growth of mobile products and economies has been fuelled by the ability to deterministically target consumers. However, recent privacy measures by governments and Apple's introduction of IDFA have transformed this certainty into a probabilistic endeavour. This shift is already impacting the industry, with Cost-per-Install numbers increasing as much as 88% (https://www.businesswire.com/news/home/20230308005067/en/Gaming-App-Install-Ad-Spend-Reaches-26.7-Billion-Globally-Despite-Slowing-Growth-in-Installs-According-to-New-AppsFlyer-Report). Our vision for the future of marketing is based on a decentralized database. This approach allows respect for privacy through zero-knowledge proofs, whilst still enabling marketers to efficiently reach their ideal customers. At present, we see Ethereum as the best representation of this future. Through Godmode, we offer insights on various metrics such as spending behaviour, wallet size, average NFT hold duration, and cross-app usage, amongst others. In an era where conversion data is siloed behind the databases of tech giants like Google, Apple, and Facebook, and privacy measures are continuously being tightened, businesses face growing challenges. Godmode aims to alleviate this struggle by providing precise targeting insights. However, you might wonder: what's the practical use of this data? The truth is, most of your target users are active on web2 platforms like Facebook, TikTok, and Twitter. This is where Godmode steps in to match web3 wallet addresses to web2 social media handles. Here's how it works: 1. Marketers segment web3 data based on parameters like contracts, ownership, wallet size in US$, etc. 2. We identify how many social media handles we can match to these wallets. 3. You can then export or upload these audiences into your ad managers. Godmode has also launched on Product Hunt today, and we're currently the #1 product: https://www.producthunt.com/posts/godmode-3 We're not "crypto degens". We're a dedicated team striving to explore and exploit the potential liberating use cases of blockchain technology. We'd love to hear about your experiences with current marketing efforts and whether it is, indeed, becoming more challenging to market effectively. Your feedback and thoughts are invaluable to us. Thank you!

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Indie HackersFits the IH revenue-focused audience · Strong signals: para, efficiently · Missing: supports, reddit linkedin, podcasting
99%99% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, google, users · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, efficient, users · Missing: plus, intuitive, reviews
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: growth, active · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: web3, crypto · Missing: chat, cryptocurrency, make money
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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