DEV Community: Tessen

Beyond the Model: Anthropic's Winning Strategy

Tessen — Fri, 24 Jul 2026 00:17:09 +0000

Beyond the Model: Anthropic's Winning Strategy
Anthropic, a key player in the AI landscape, has carved out a distinctive niche through strategic maneuvers that extend beyond the conventional reliance on AI models. Their approach reflects a deep understanding of both the technology and the market dynamics at play. Here's how they are redefining success in AI.

Holistic Approach to AI Development
While many companies are fixated solely on developing advanced AI models, Anthropic champions a holistic approach. This includes emphasizing safety, ethics, and user experience as core pillars of their strategy. By prioritizing safety in AI deployment, they not only enhance user trust but also align with increasing regulatory demands surrounding AI technologies. This proactive stance allows Anthropic to position itself as a leader in responsible AI, appealing to businesses hesitant to adopt AI solutions due to safety concerns.

Building an Ecosystem Around AI
Anthropic recognizes that success in AI isn't just about the models themselves but also about creating an ecosystem that supports their application. They have fostered partnerships across various domains, integrating their AI capabilities into existing workflows and technologies. This collaborative approach ensures their models are more than just standalone tools; they become integral components of broader systems. By doing so, Anthropic is effectively embedding its technologies into the fabric of everyday business operations, ensuring sustained demand and engagement.

Focusing on User-Centric Design
Another cornerstone of Anthropic's strategy is a relentless focus on user-centric design. They have invested significant resources into understanding user needs and pain points, which informs their product development. This understanding enables them to tailor their AI solutions in a way that maximizes usability and effectiveness. By prioritizing the user experience, Anthropic ensures that their technologies not only solve problems but also empower users, leading to higher adoption rates and customer satisfaction.

Conclusion: The Future of AI with Anthropic
As Anthropic continues to innovate, their strategy of moving beyond traditional AI models positions them as a formidable force in the industry. By blending safety, ecosystem development, and user-centric design, they are not just creating AI solutions; they are shaping the future of how businesses interact with technology. Founders looking to navigate the complex landscape of AI can learn valuable lessons from Anthropic's multifaceted approach, emphasizing that success in this field requires more than just cutting-edge algorithms. It demands a strategic vision that encompasses the entire AI experience.

anthropic strategy #ai market success #beyond ai models #ai development #user-centric design

Website: https://tessen.ai

Real-Time AI Tracker: Building Your Own Notification System

Tessen — Thu, 23 Jul 2026 22:37:43 +0000

Real-Time AI Tracker: Building Your Own Notification System

In today's fast-paced digital landscape, staying ahead of the curve is crucial for any founder. A real-time AI tracker can be the key to ensuring you never miss out on important updates. By creating your own personalized notification system, you can receive alerts on new releases directly, cutting through the noise of social media delays.

Understanding the Need for Real-Time Notifications
In an age where information is abundant, the speed of access can make all the difference. Many founders find themselves overwhelmed by the sheer volume of updates across various platforms. Relying on social media for notifications often leads to delays and missed opportunities.

With a real-time AI tracker, you can tailor your alerts to focus on what matters most to you. This proactive approach enables you to respond swiftly to changes in your industry, allowing you to maintain a competitive edge. By leveraging technology to streamline your information intake, you can focus more on strategy and innovation rather than sifting through irrelevant noise.

Steps to Create Your Personalized Notification System
Creating a custom notification system isn't as daunting as it may seem. Here’s a step-by-step guide to help you set one up:

Identify Key Sources: Begin by determining which websites, blogs, or databases provide the most relevant information for your needs. These could be industry publications, competitor announcements, or technology releases.
Select an AI Tool: Utilize AI tools that can scrape data from your chosen sources. Tools like Tessen's air workflow can automate the process, allowing you to set parameters for alerts based on keywords or specific topics.
Set Up Notification Preferences: Decide how you want to receive notifications. Options may include emails, SMS, or integration with other applications like Slack. Make sure your preferences are aligned with how you work best.
Test and Optimize: Run a few tests to ensure you’re receiving the notifications without any issues. Adjust your settings based on the feedback you gather to eliminate noise and ensure you only get the most pertinent information.

The Advantages of a Custom AI Notification System
Having a personalized AI notification system offers numerous advantages:

Timeliness: Get alerts instantly when critical updates occur, allowing you to act immediately, rather than waiting for social media updates.
Relevance: Tailor your notifications to include only the information pertinent to your business goals, filtering out irrelevant noise.
Efficiency: Automate the tracking process and free up your time for more strategic decision-making.
Competitive Edge: Stay informed about industry trends and competitor activities, ensuring you’re always one step ahead.

By implementing a real-time AI tracker, you not only enhance your information management but also empower yourself to make informed decisions swiftly. In an era where time is money, this can be a game-changer for founders.

In conclusion, the ability to create a personalized notification system is within reach. By leveraging AI technology, you can ensure that you're on the cutting edge of your industry, ready to seize opportunities as they arise. It’s time to take control of the information flow and build a system that works for you. Don't let social media delays hinder your potential—embrace the future of information with a real-time AI tracker.

Find more : https://tessen.ai

We graded 13 famous trading strategies on 6 years of data. All 13 failed.

Tessen — Tue, 14 Jul 2026 06:00:39 +0000

Every trading book, YouTube channel, and Discord server teaches the same classics: RSI
mean-reversion, the golden cross, Bollinger bands, MACD momentum, Turtle trading. They're
taught because they're intuitive and they backtest beautifully — if you let yourself be
a little dishonest about how you backtest.

We run a strategy-grading engine, so we did the obvious thing: we took 13 of the most
widely taught strategies and graded them all the same way we grade everything —

6 years of crypto data across 10+ major pairs
A strict out-of-sample split: parameters are chosen on the training window only; the grade comes exclusively from data the strategy never saw
Real costs: taker fees and slippage modeled on every fill
Five pass/fail gates: positive out-of-sample expectancy, clears the cost hurdle, robust across assets, survivable drawdown, and not overfit

Here's the honest scoreboard:

Strategy	Gates passed	Net/trade (after costs)	OOS trades	Win rate
ADX trend rider	4/5	+10.7 bp	4,235	37.8%
Bollinger breakout	4/5	+3.8 bp	6,382	36.8%
MACD momentum	3/5	+3.5 bp	8,345	37.0%
Momentum (rate of change)	2/5	+1.6 bp	5,944	36.6%
Golden cross	2/5	+0.7 bp	8,126	37.6%
Ichimoku cloud	1/5	+1.4 bp	7,134	36.8%
Connors RSI-2	1/5	−3.7 bp	12,141	47.8%
Turtle trading	1/5	−8.0 bp	7,054	35.9%
Bollinger reversion	1/5	−9.7 bp	6,946	49.0%
Stochastic reversion	1/5	−13.5 bp	9,313	44.3%
RSI mean-reversion	1/5	−19.8 bp	4,629	37.8%
Quiet dip buyer	1/5	−28.3 bp	1,439	36.3%
CMF money flow	0/5	−5.4 bp	3,615	33.3%

Zero out of thirteen passed all five gates.

Three things worth actually learning from this

1. Win rate is a trap. The two highest win rates on the board — Bollinger reversion
at 49% and Connors RSI-2 at 47.8% — both lose money after costs. Meanwhile the closest
thing to a passing strategy, the ADX trend rider, wins only 37.8% of its trades. A high
win rate with small wins and large losses is how a strategy feels good while bleeding
out. (This is personal: the founder ran a live bot with a 78% win rate that turned out to
be flat over 6 years. The win rate was hiding a 1:0.34 reward-to-risk.)

2. Trend-following beat mean-reversion — everywhere. Look at the top of the table:
ADX trend rider, Bollinger breakout, MACD momentum. Now look at the bottom: RSI
reversion, stochastic reversion, dip buying. On this data, every strategy built on
"it went down, so buy the bounce" lost money after fees, and every strategy that got
close to passing was riding moves, not fading them.

3. "Close to passing" is still failing. Two strategies passed 4 of 5 gates. That
sounds encouraging until you remember what the fifth gate was protecting you from. A
strategy that isn't robust across assets, or that only worked because its parameters
were tuned to the test period, will do to your real money exactly what it couldn't be
caught doing in a sloppy backtest.

Why fees change everything

Most published backtests of these classics quietly assume zero or near-zero trading
costs. At thousands of trades over six years, even a few basis points per trade compounds
into the difference between "works" and "wipes out." Connors RSI-2 is the cleanest
example: with 12,141 out-of-sample trades, it's gross-positive and net-negative. The
strategy isn't wrong about the market — it's just too small an edge to pay its own way.

Check the work

Every grade above has a public verify page with the full per-asset breakdown — the
methodology is the same for all 13, and the inputs can't be edited after the fact:
tessen.ai/strategies

And if you have a strategy of your own — from a book, a video, or your own head — you
can run it through the same five gates free, no signup: tessen.ai/grade. Fair
warning, most ideas fail. Knowing that before you fund an account is the entire point.

Nothing here is financial advice. A failed grade on historical data doesn't prove a
strategy can never work; a passed one wouldn't guarantee it keeps working. These are
measurements, not predictions.

We graded 13 famous trading strategies on 6 years of data. All 13 failed.

Tessen — Mon, 13 Jul 2026 20:27:47 +0000

(https://tessen.ai/strategies)

Every trading book, YouTube channel, and Discord server teaches the same classics: RSI mean-reversion, the golden cross, Bollinger bands, MACD momentum, Turtle trading. They're taught because they're intuitive and they backtest beautifully — if you let yourself be a little dishonest about how you backtest.

We run a strategy-grading engine, so we did the obvious thing: we took 13 of the most widely taught strategies and graded them all the same way we grade everything —

6 years of crypto data across 10+ major pairs
A strict out-of-sample split: parameters are chosen on the training window only; the grade comes exclusively from data the strategy never saw
Real costs: taker fees and slippage modeled on every fill
Five pass/fail gates: positive out-of-sample expectancy, clears the cost hurdle, robust across assets, survivable drawdown, and not overfit
Here's the honest scoreboard:

Strategy Gates passed Net/trade (after costs) OOS trades Win rate
ADX trend rider 4/5 +10.7 bp 4,235 37.8%
Bollinger breakout 4/5 +3.8 bp 6,382 36.8%
MACD momentum 3/5 +3.5 bp 8,345 37.0%
Momentum (rate of change) 2/5 +1.6 bp 5,944 36.6%
Golden cross 2/5 +0.7 bp 8,126 37.6%
Ichimoku cloud 1/5 +1.4 bp 7,134 36.8%
Connors RSI-2 1/5 −3.7 bp 12,141 47.8%
Turtle trading 1/5 −8.0 bp 7,054 35.9%
Bollinger reversion 1/5 −9.7 bp 6,946 49.0%
Stochastic reversion 1/5 −13.5 bp 9,313 44.3%
RSI mean-reversion 1/5 −19.8 bp 4,629 37.8%
Quiet dip buyer 1/5 −28.3 bp 1,439 36.3%
CMF money flow 0/5 −5.4 bp 3,615 33.3%
Zero out of thirteen passed all five gates.

Three things worth actually learning from this

Win rate is a trap. The two highest win rates on the board — Bollinger reversion at 49% and Connors RSI-2 at 47.8% — both lose money after costs. Meanwhile the closest thing to a passing strategy, the ADX trend rider, wins only 37.8% of its trades. A high win rate with small wins and large losses is how a strategy feels good while bleeding out. (This is personal: the founder ran a live bot with a 78% win rate that turned out to be flat over 6 years. The win rate was hiding a 1:0.34 reward-to-risk.)
Trend-following beat mean-reversion — everywhere. Look at the top of the table: ADX trend rider, Bollinger breakout, MACD momentum. Now look at the bottom: RSI reversion, stochastic reversion, dip buying. On this data, every strategy built on "it went down, so buy the bounce" lost money after fees, and every strategy that got close to passing was riding moves, not fading them.
"Close to passing" is still failing. Two strategies passed 4 of 5 gates. That sounds encouraging until you remember what the fifth gate was protecting you from. A strategy that isn't robust across assets, or that only worked because its parameters were tuned to the test period, will do to your real money exactly what it couldn't be caught doing in a sloppy backtest.

Why fees change everything
Most published backtests of these classics quietly assume zero or near-zero trading costs. At thousands of trades over six years, even a few basis points per trade compounds into the difference between "works" and "wipes out." Connors RSI-2 is the cleanest example: with 12,141 out-of-sample trades, it's gross-positive and net-negative. The strategy isn't wrong about the market — it's just too small an edge to pay its own way.

Check the work
Every grade above has a public verify page with the full per-asset breakdown — the methodology is the same for all 13, and the inputs can't be edited after the fact: tessen.ai/strategies

And if you have a strategy of your own — from a book, a video, or your own head — you can run it through the same five gates free, no signup: tessen.ai/grade. Fair warning, most ideas fail. Knowing that before you fund an account is the entire point.

Nothing here is financial advice. A failed grade on historical data doesn't prove a strategy can never work; a passed one wouldn't guarantee it keeps working. These are measurements, not predictions.