Most of the data in this article is hypothetical, and the final outcome is unpredictable, but we might be able to reveal certain trends. You shouldn't take everything said below as absolute truth; however, I will try to establish some meaningful baseline.
I had the idea to do a dry mathematical calculation of what happens if you blog regularly and accumulate HP (Hive Power) over a long period, factoring in compound interest—a force many people underestimate. These are very rough estimates with many unpredictable factors, such as the price of HIVE at any given moment. Currently, the price fluctuates in the $0.06–$0.07 range. If we look at the entire historical chart, the primary trading range was between $0.20 and $0.40, so let's take $0.30 as the historical average.
Let's set our baseline variables:
— Current price: Let's use $0.07.
— Imagine a person, "User X", who has just joined the ecosystem. They possess ironclad willpower and set a goal to publish 3 articles a week. At the same time, they dedicate effort to building social connections within the ecosystem with other users. Building social ties is the fundamental factor for success on the platform.
— Let's assume that each post over the course of the first year brings in an average of $5. Naturally, the first posts will earn less, and the later ones will earn more, so we average it out to $5. Accordingly, 50% goes to the author, and 50% to the curators.
— Author X receives an average of $2.50 per article.
— At the current exchange rate of $0.07, $2.50 equals roughly 35 HP per article.
— 12 articles a month = 420 HP.
— Everything earned is immediately powered up (staked to HP); nothing is withdrawn.
— We will simplify the rewards for curation and staking and average them out to a 10% Annual Percentage Yield (APY). At maximum efficiency, the percentage is slightly higher, but we'll round it down for simplicity and to provide somewhat realistic benchmarks.
— Starting from the second year, the reward efficiency per article will increase by +15%, and each subsequent year will grow by 5% due to established and stable social connections.
Monthly Baselines by Year:
— Year 1 (Baseline): 420 HP per month (12 articles at 35 HP each).
— Year 2 (+15% to baseline): 483 HP per month.
— Year 3 (+20% to baseline): 504 HP per month.
— Year 4 (+25% to baseline): 525 HP per month.
— Year 5 (+30% to baseline): 546 HP per month.
These are very rough inputs. It's highly likely that some articles might earn zero, while others might earn exponentially more than $5. But for the sake of mathematically calculating theoretical results and building a model, I consider these inputs as balanced as possible.
After 1 Year (12 months)
— Invested through personal labor: 5,040 HP
— Earned via compound interest: ~238 HP
— Total balance: ~5,278 HP
— USD equivalent (at $0.07): ~$369 (Or $1,583.40 if taking the $0.30 historical average).
After 3 Years (36 months)
— Invested through personal labor: 16,884 HP
— Earned via compound interest: ~2,594 HP
— Total balance: ~19,478 HP
— USD equivalent (at $0.07): ~$1,363 (Or $5,843.40 if taking the $0.30 historical average).
After 5 Years (60 months)
— Invested through personal labor: 29,736 HP
— Earned via compound interest: ~8,184 HP
— Total balance: ~37,920 HP
— USD equivalent (at $0.07): ~$2,654 (Or $11,376 if taking the $0.30 historical average).
If we look at the fifth-year figures, the classic compound interest curve becomes visible: through staking and curation alone (combined into a 10% APY), Author X receives over 8,000 extra coins—the equivalent of almost a year and a half of continuous article writing.
If we extend the time horizon to 10 years, the model breaks heavily in favor of curation:
After 10 Years (120 months)
— Invested through personal labor (writing articles): 66,276 HP
— Earned via compound interest (staking + curation): ~42,950 HP
— Total balance: ~109,226 HP
— USD equivalent (at $0.07): ~$7,645 (Or $32,768.80 if taking the $0.30 historical average).
At the 10-year mark, a massive shift occurs: the passively accumulated interest rapidly catches up to the physical labor invested in content. Almost 40% of the final capital is money that "made itself."
Furthermore, an account with a balance of over 100,000 Hive Power achieves the status of a "whale" (or a very large "dolphin"). Author X's vote will carry significant weight, and they will be able to generate substantial income exclusively through curation (upvoting other authors), even if they decide to slow down their own writing pace.
Writing 3 articles a week on demand, with a specific set of requirements, can be extremely difficult. If these are long reads, a single article might take one or two weeks. However, if this is a hobby and you write about topics that interest you, resonate with you, or in which you are an expert, then 3 articles a week really isn't that hard. And if it's truly something you love and enjoy, it becomes leisure rather than labor.
Over a 10-year timeframe, it's hard to be certain about anything. There will definitely be crises, both in the crypto industry and the ecosystem as a whole. But crises always drive improvement; everything viable adapts, improves, and evolves, while the non-viable fades away, making room for new opportunities.
For developing countries with weak economies, Hive provides fantastic opportunities—and that is no exaggeration. Of course, there are risks: the price of HIVE could drop even further, and technically, there is no absolute bottom. But that doesn't make the technology itself any worse. If you enjoy the process of writing, creating content, and sharing it while receiving feedback—if you value freedom of expression and a degree of privacy (not to be confused with anonymity)—I believe it's a justified risk and the game is worth the candle.
The Problem of False Expectations
Naturally, a full study would be needed to provide factual data from the blockchain with exact numbers for total objectivity. But that is a topic for a separate article; for now, I will just share my observations and conclusions.
Several times, I have come across quite interesting accounts where the authors wrote engaging articles on a regular basis, but only for a short time—one or two months. If you read their initial posts, you can see their enthusiasm. People write about it being a breath of fresh air compared to Web 2.0 social networks; they are highly impressed by the ecosystem. But shortly after, something happens...
One of the reasons new users abruptly leave after the first few months likely stems from false expectations of the platform. I think the vast majority come with the goal of making money. The marketing model is generally built on this pillar: "write articles and get rewarded." Beginners don't understand why someone writes an article and gets a specific amount, while they try their hardest and get crumbs or absolutely zeros.
The realization that success comes over time through building social connections dawns at a certain stage, and I think not everyone reaches it. This is a problem, as a newcomer needs to have a lot of new and completely unfamiliar information explained to them. For users with a few months of experience, navigating this is no problem at all—everything is extremely simple and clear. But for a beginner, it's a barrier. Their initial misconception about earning money through content creation is largely what leads to burnout.
To some extent, this barrier acts as a filter for a specific type of person. I think this is partly why the traditions within the ecosystem have developed the way they have.
The roadmap outlined in this article is stretched over years, and anything can happen in such a timeframe. Going the distance for 10 years and strictly following a plan of 12 articles a month is a non-trivial task, achievable by only a very small percentage of people. However, just recently, I came across several articles from people celebrating their personal ten-year anniversaries in the ecosystem. Therefore—nothing is impossible.