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In Front Of Carrer Change – Launching First Software For Web3

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In Front Of Carrer Change – Launching First Software For Web3

Hi Hacker Community, That's my first post here so please be understanding I'd appreciate your insights on my approach as a 27-year-old affiliate marketer with quite a big switch in my business career. Over the past decade, I've been immersed in the marketing world, preparing to one day create a SaaS product rooted in my affiliate marketing experience. Armed with a deep understanding of how affiliate marketing networks function and a burning curiosity about the Web3 realm, I delved into the distinctive world of marketing in this space. Naturally, my primary interest lies within my field of expertise, affiliate marketing. I quickly realised that, in the present day, there are only a handful of players in the Web3 sphere that allow crypto projects to market their brands through affiliate marketing. However, there's a catch. If you're the creator of a crypto token, setting up a dedicated affiliate program for your token is, well, next to impossible. The traditional affiliate marketing framework doesn't quite fit the dynamics of the Web3 space. And this is where things get interesting. You see, if you, as a crypto project owner, wish to collaborate with a publisher or influencer, there's no surefire way to determine the precise outcome of this partnership. You can't measure the return on every dollar spent. Let me break it down. When a publisher, like a crypto YouTuber, mentions your token as part of a partnership, they can't earn a single cent through an affiliate link. Why, you ask? It's because the end-user ultimately needs to make a purchase on a cryptocurrency exchange, and these platforms don't support affiliate links. Consequently, the publisher doesn't get the data back about how many users they brought in or how many sales were generated. These insights are crucial for crypto token creators to build valuable affiliate programs in any niche and make informed investment decisions in partnerships based on tangible results. So, about four months ago, I decided to dive headfirst into researching this issue. That's when the idea struck: We needed a solution. Thus, my business partners and I embarked on creating the world's very first affiliate network with FIAT-Enabled Affiliate Programs for Web3 Tokens. Now, we're at the stage where we've developed a fully functional MVP. It includes: - Automatically dedicated affiliate programs for crypto projects that want to collaborate with Parascale. - A gateway for onboarding tokens and enabling publishers to create tracking links for specific tokens we partner with. - Dashboards for publishers and advertisers (crypto token projects) with real-time insights into traffic, clicks, and sales. - Comprehensive support for both publishers and advertisers, helping them amplify their marketing efforts and expand their horizons. Me and my team would greatly appreciate your feedback on our MVP, which is currently live for beta testers, including both publishers and advertisers. Your insights into our solution: 1. Firstly.. just what do you generally think about it? 2. Website UX/UI (https://parascale.io/) 3. Our demo affiliate landing page dedicated to every crypto project would be invaluable (https://parascale.io/demo) and perhaps you have some pearls of wisdom for an Early-Stage SaaS founder in a very niche market like me? We're gearing up for our first integration with a crypto token in November and are eager to onboard more clients. Thank you in advance for your time and wish you luck with your ventures! Best, Mac Co-founder Parascale

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Indie HackersFits the IH revenue-focused audience · Strong signals: para, ios, including · 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: mac, user, single · Missing: agents, macos, agent
81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, month, users · Missing: mobile apps, personal, entrepreneurs
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
45%45% 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
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.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, saas · Missing: mrr, revenue, profit
13%13% 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, cryptocurrency · Missing: chat, make money, real time
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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