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BiohacksAI

Evidence-Based Biohacking

Patent Pending
Compound Discovery Engine

Discover Emerging Compounds

Mechanism-based discovery across molecular target networks. Ranked by target influence, research momentum, and corpus rarity — the same signals used in drug discovery engines.

📊 4,824 substances🎯 2,096 molecular targets📄 PubMed-verified corpus
Longevity
105 compounds

Aging biology, senescence, lifespan extension

SIRT1mTORFOXO3AMPKNRF2
Top Emerging
#1egcg
11.34
#2Berberine
11.05
#3Quercetin
8.07
View all longevity compounds →
Cognition
160 compounds

Synaptic plasticity, neurogenesis, neuroprotection

BDNFGSK3BBACE1ACHEMAPT
Top Emerging
#1egcg
19.26
#2fisetin
16.37
#3Rutin
14.45
View all cognition compounds →
Inflammation
100 compounds

Inflammatory pathways and immune modulation

TNFIL6COX-2NF-κBNLRP3
Top Emerging
#1egcg
10.08
#2Rutin
9.49
#3Quercetin
7.19
View all inflammation compounds →
Muscle
207 compounds

Protein synthesis, hypertrophy, recovery

mTORAMPKIGF1RARPPARGC1A
Top Emerging
#1Berberine
16.14
#2Rutin
11.24
#3chrysin
7.96
View all muscle compounds →
Metabolic
86 compounds

Glucose metabolism, insulin sensitivity, lipid balance

AMPKPPARGINSRAKT1PPARA
Top Emerging
#1Berberine
16.14
#2Arachidonic Acid
8.95
#3Rutin
8.92
View all metabolic compounds →
Stress
87 compounds

HPA axis, cortisol regulation, stress adaptation

NR3C1NRF2SOD1HSP90MAPK14
Top Emerging
#1Thioctic Acid
7.40
#2propyl gallate
5.56
#3chrysin
5.42
View all stress compounds →
Discovery Algorithm
domain_score = target_influence(IDF) × rarity_factor × momentum_factor

Substances are ranked by how strongly they interact with domain-specific molecular targets, weighted by how rare those targets are across the corpus (IDF), how few studies exist (rarity), and recent research acceleration (momentum). High score = mechanistically relevant + under-researched + gaining attention.